Best Klee Alternatives in 2024

Find the top alternatives to Klee currently available. Compare ratings, reviews, pricing, and features of Klee alternatives in 2024. Slashdot lists the best Klee alternatives on the market that offer competing products that are similar to Klee. Sort through Klee alternatives below to make the best choice for your needs

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    Comet Backup Reviews
    Top Pick
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    Start running backups and restores in less than 15 minutes! Comet is a fast, secure all-in-one backup platform for businesses and IT providers. You control your backup environment and storage destination (local, Wasabi, AWS, Google Cloud Storage, Azure, Backblaze, or other S3 storage providers). Our software supports businesses across 120 countries in 13 languages. Test drive Comet Backup with a 30-day FREE trial!
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    Zilliz Cloud Reviews
    Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.
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    Pinecone Reviews
    The AI Knowledge Platform. The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Fully managed and developer-friendly, the database is easily scalable without any infrastructure problems. Once you have vector embeddings created, you can search and manage them in Pinecone to power semantic searches, recommenders, or other applications that rely upon relevant information retrieval. Even with billions of items, ultra-low query latency Provide a great user experience. You can add, edit, and delete data via live index updates. Your data is available immediately. For more relevant and quicker results, combine vector search with metadata filters. Our API makes it easy to launch, use, scale, and scale your vector searching service without worrying about infrastructure. It will run smoothly and securely.
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    Vectorize Reviews

    Vectorize

    Vectorize

    $0.57 per hour
    Vectorize is an open-source platform that transforms unstructured data to optimized vector search indices. This allows for retrieval-augmented generation pipelines. It allows users to import documents, or connect to external systems of knowledge management to extract natural languages suitable for LLMs. The platform evaluates chunking and embedding methods in parallel. It provides recommendations or allows users to choose the method they prefer. Vectorize automatically updates a real-time pipeline vector with any changes to data once a vector configuration has been selected. This ensures accurate search results. The platform provides connectors for various knowledge repositories and collaboration platforms as well as CRMs. This allows seamless integration of data in generative AI applications. Vectorize also supports the creation and update of vector indexes within preferred vector databases.
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    Azure AI Search Reviews
    Deliver high-quality answers with a database that is built for advanced retrieval, augmented generation (RAG), and modern search. Focus on exponential growth using a vector database built for enterprise that includes security, compliance and responsible AI practices. With sophisticated retrieval strategies that are backed by decades worth of research and validation from customers, you can build better applications. Rapidly deploy your generative AI application with seamless platform and integrations of data sources, AI models and frameworks. Upload data automatically from a variety of supported Azure and 3rd-party sources. Streamline vector data with integrated extraction, chunking and enrichment. Support for multivectors, hybrids, multilinguals, and metadata filters. You can go beyond vector-only searching with keyword match scoring and reranking. Also, you can use geospatial searches, autocomplete, and geospatial search.
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    Superlinked Reviews
    Use user feedback and semantic relevance to reliably retrieve optimal document chunks for your retrieval-augmented generation system. In your search system, combine semantic relevance with document freshness because recent results are more accurate. Create a personalized ecommerce feed in real-time using user vectors based on the SKU embeddings that were viewed by the user. A vector index in your warehouse can be used to discover behavioral clusters among your customers. Use spaces to build your indices, and run queries all within a Python Notebook.
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    Vectara Reviews
    Vectara offers LLM-powered search as-a-service. The platform offers a complete ML search process, from extraction and indexing to retrieval and re-ranking as well as calibration. API-addressable for every element of the platform. Developers can embed the most advanced NLP model for site and app search in minutes. Vectara automatically extracts text form PDF and Office to JSON HTML XML CommonMark, and many other formats. Use cutting-edge zero-shot models that use deep neural networks to understand language to encode at scale. Segment data into any number indexes that store vector encodings optimized to low latency and high recall. Use cutting-edge, zero shot neural network models to recall candidate results from millions upon millions of documents. Cross-attentional neural networks can increase the precision of retrieved answers. They can merge and reorder results. Focus on the likelihood that the retrieved answer is a probable answer to your query.
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    Carbon Reviews
    Carbon is a cost-effective alternative to expensive pipelines. You only pay monthly for usage. Utilise less and spend less with our usage-based pricing; use more and save more. Use our ready-made components for file uploading, web scraping, and 3rd party verification. A rich library of APIs designed for developers that import AI-focused data. Create and retrieve chunks, embeddings and data from all sources. Unstructured data can be searched using enterprise-grade keyword and semantic search. Carbon manages OAuth flows from 10+ sources. It transforms source data to vector store-optimized files and handles data synchronization automatically.
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    VectorDB Reviews
    VectorDB is a lightweight Python program for storing and retrieving texts using chunking techniques, embedding techniques, and vector search. It offers an easy-to use interface for searching, managing, and saving textual data, along with metadata, and is designed to be used in situations where low latency and speed are essential. When working with large language model datasets, vector search and embeddings become essential. They allow for efficient and accurate retrieval relevant information. These techniques enable quick comparisons and search, even with millions of documents. This allows you to find the most relevant search results in a fraction the time of traditional text-based methods. The embeddings also capture the semantic meaning in the text. This helps improve the search results, and allows for more advanced natural-language processing tasks.
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    Metal Reviews
    Metal is a fully-managed, production-ready ML retrieval platform. Metal embeddings can help you find meaning in unstructured data. Metal is a managed services that allows you build AI products without having to worry about managing infrastructure. Integrations with OpenAI and CLIP. Easy processing & chunking of your documents. Profit from our system in production. MetalRetriever is easily pluggable. Simple /search endpoint to run ANN queries. Get started for free. Metal API Keys are required to use our API and SDKs. Authenticate by populating headers with your API Key. Learn how to integrate Metal into your application using our Typescript SDK. You can use this library in JavaScript as well, even though we love TypeScript. Fine-tune spp programmatically. Indexed vector data of your embeddings. Resources that are specific to your ML use case.
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    Embedditor Reviews
    A user-friendly interface will help you improve your embedding metadata, and embedding tokens. Apply advanced NLP cleaning techniques such as TF-IDF to normalize and enrich your embedded tokens. This will improve efficiency and accuracy for your LLM applications. Optimize relevance of content returned from vector databases by intelligently splitting and merging content based on structure, adding void or invisible tokens to make chunks more semantically coherent. Embedditor can be installed locally on your PC, in your enterprise cloud or on premises. Embedditor's advanced cleansing techniques can help you save up to 40% in embedding costs and vector storage by filtering out non-relevant tokens such as stop-words and punctuation.
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    Whisper Reviews
    We have developed and are open-sourcing Whisper, a neural network that approximates human-level robustness in English speech recognition. Whisper is an automated speech recognition (ASR), system that was trained using 680,000 hours of multilingual, multitask supervised data from the internet. The use of such a diverse dataset results in a better resistance to accents, background noise, technical language, and other linguistic issues. It also allows transcription in multiple languages and translation from these languages into English. We provide inference code and open-sourcing models to help you build useful applications and further research on robust speech processing. The Whisper architecture is an end-to-end, simple approach that can be used as an encoder/decoder Transformer. The input audio is divided into 30-second chunks and converted into a log Mel spectrogram. This then goes into an encoder.
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    lxi.ai Reviews

    lxi.ai

    lxi.ai

    $0.1 per MB per month
    Get reliable answers from a GPT-based AI using the information in your documents. Upload PDFs, add text, and import webpages to create your document library. Add a document by selecting files on your local computer, importing the text content of a webpage, or simply copying and pasting text into our simple upload form. To efficiently retrieve information during question time, lxi.ai processes your documents using ML. These chunks of information are then securely saved in a format which makes it easy to find the relevant information for future questions. You can upload PDFs docx and txt documents or copy and paste the raw text. You can also provide a URL to a website and lxi will scrape all the text content. lxi.ai bills by the size of the document and the number of questions. Please see the pricing section for current pricing.
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    Pigro Reviews
    ChatGPT retrieval plug-in on steroids Intelligent document indexing services for smarter answers. For accurate ChatGPT responses, it is important to have text segments that respect the original document's context. OpenAI's text chunking services currently split the text only based on punctuation every 200 words. Pigro offers AI-based text chuncking services that divide content as a human would. They take into account the layout and structure of a document, including pagination, headings tables, lists, images etc. Our API supports Office-like documents in PDF, HTML and plain text. Pigro only delivers the relevant text to answer the query. Our generative AI expands your content by generating all possible questions within your document. Our search considers title, body and generated questions, as well as keywords and semantics. Generative indexing provides the best accuracy.
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    Cloudflare Vectorize Reviews
    Start building in just minutes. Vectorize provides fast and cost-effective vector storage for your AI Retrieval augmented generation (RAG) & search applications. Vectorize integrates seamlessly with Cloudflare’s AI developer platform & AI gateway to centralize development, monitoring, and control of AI applications at a global level. Vectorize is a globally-distributed vector database that allows you to build AI-powered full-stack applications using Cloudflare Workers AI. Vectorize makes it easier and cheaper to query embeddings - representations of objects or values such as text, images, audio, etc. - that are intended to be consumed by machine intelligence models and semantic search algorithms. Search, similarity and recommendation, classification, anomaly detection, and classification based on your data. Search results are improved and faster. Support for string, number and boolean type.
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    Odin AI Reviews
    Top Pick
    Odin AI generates responses and information that will improve your productivity. Odin will automatically connect with a variety data sources. Get the answers you need based on real-time data from the Internet and your data. From Office and PDF to JSON and HTML, XML and CommonMark. Odin will begin to extract metadata once it is connected to the data. All relevant data will be ingested into the knowledge base. We embed this information using our vector store technology. Odin will be able to retrieve the information when you need it. Odin will provide you with grounded answers across all communication channels without hallucinations. Enjoy a level of functionality and personalization that is unmatched, as well as ease of use, with technology that knows what you need and when you need it. Odin can provide you with sharp research insights when you have large documents.
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    Azure AI Services Reviews
    Create AI applications that are market-ready and cutting-edge with customizable APIs and models. Studio, SDKs and APIs can be used to quickly integrate generative AI into production workloads. Build AI apps that are powered by foundation models from OpenAI Meta and Microsoft to gain a competitive advantage. With Azure Security, responsible AI tools, and built-in AI, you can detect and mitigate harmful usage. Create your own copilot applications and generative AI with the latest language and vision models. Search for the most relevant information using hybrid, vector and keyword search. Monitor images and text to detect offensive content. Translate documents and text in more than 100 different languages.
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    Kernel for Exchange Recovery Reviews
    Kernel Exchange Recovery Tool is compatible with all versions of Exchange Server. Large EDB files can easily be broken down and saved as small PST files. The mailbox hierarchy in which the recovered data was stored before the conversion is complete is preserved. It has an interactive graphical interface that allows users to retrieve data from Exchange EDB files, and then save them to secure formats. It is an invaluable tool in emergency Exchange failure situations. 1 Provides a three-step process that includes Copy-Paste, Drag-Drop and Drag-Drop functions. 2 You can preview all files recovered before saving them 3 Saves data in PST format, Exchange Server, Outlook profiles & Office 365. 4 Can be used by a layman with no technical knowledge. 5 Can restore from different versions like 2019 and 2003. 6 The tool is compatible with all Outlook versions, Exchange version, and Office 365. The tool comes with a free trial version that allows you to save up to 25 items per file.
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    Borg Reviews
    Deduplicating archiver that supports encryption and compression. BorgBackup (short Borg), allows you to store backups in a space-efficient manner. Secure, authenticated encryption Compression, LZ4, zlib, LZMA, zstd (since borg 1.1.4). Mountable backups using FUSE Installation is easy on Linux, macOS, and BSD. Free software (BSD License). Supported by an active open-source community. It supports authenticated encryption and compression. Borg's main purpose is to offer a secure and efficient way to backup data. Borg is suitable for daily backups due to the fact that only changes are stored. It is suitable for backups to targets that are not fully trusted due to its authenticated encryption. Deduplication is based on content defined chunking. Each file is divided into a number variable length chunks. Only the chunks that have never before been seen are added to the repository.
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    LlamaIndex Reviews
    LlamaIndex, a "dataframework", is designed to help you create LLM apps. Connect semi-structured API data like Slack or Salesforce. LlamaIndex provides a flexible and simple data framework to connect custom data sources with large language models. LlamaIndex is a powerful tool to enhance your LLM applications. Connect your existing data formats and sources (APIs, PDFs, documents, SQL etc.). Use with a large-scale language model application. Store and index data for different uses. Integrate downstream vector stores and database providers. LlamaIndex is a query interface which accepts any input prompts over your data, and returns a knowledge augmented response. Connect unstructured data sources, such as PDFs, raw text files and images. Integrate structured data sources such as Excel, SQL etc. It provides ways to structure data (indices, charts) so that it can be used with LLMs.
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    Docu Dig Reviews
    Docu Dig provides easy and secure content searching and insights into your documents. Docu Dig can help you improve your organization's document insight with a customized solution. Securely unlock the potential of your documents with AI-powered smart searches and insights. Docu Dig uses the latest AI technology to enhance document insights retrieval securely, improving team productivity and access to information. Your data security is of paramount importance to Docu Dig. We use advanced encryption technology to protect your documents, both in transit and at rest. This ensures that they are always secure. We offer private, sandboxed AI in the cloud, or on-premises servers for highly sensitive data. This ensures that your data will never leave your premises. Our AI is able to provide accurate insights from documents, unlike traditional methods which rely on exact keyword matching.
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    Milvus Reviews
    A vector database designed for scalable similarity searches. Open-source, highly scalable and lightning fast. Massive embedding vectors created by deep neural networks or other machine learning (ML), can be stored, indexed, and managed. Milvus vector database makes it easy to create large-scale similarity search services in under a minute. For a variety languages, there are simple and intuitive SDKs. Milvus is highly efficient on hardware and offers advanced indexing algorithms that provide a 10x speed boost in retrieval speed. Milvus vector database is used in a variety a use cases by more than a thousand enterprises. Milvus is extremely resilient and reliable due to its isolation of individual components. Milvus' distributed and high-throughput nature makes it an ideal choice for large-scale vector data. Milvus vector database uses a systemic approach for cloud-nativity that separates compute and storage.
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    Marqo Reviews

    Marqo

    Marqo

    $86.58 per month
    Marqo is a complete vector search engine. It's more than just a database. A single API handles vector generation, storage and retrieval. No need to embed your own embeddings. Marqo can accelerate your development cycle. In just a few lines, you can index documents and start searching. Create multimodal indexes, and search images and text combinations with ease. You can choose from a variety of open-source models or create your own. Create complex and interesting queries with ease. Marqo allows you to compose queries that include multiple weighted components. Marqo includes input pre-processing and machine learning inference as well as storage. Marqo can be run as a Docker on your laptop, or scaled up to dozens GPU inference nodes. Marqo is scalable to provide low latency searches on multi-terabyte indices. Marqo allows you to configure deep-learning models such as CLIP for semantic meaning extraction from images.
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    Superpowered AI Reviews
    Superpowered AI is a knowledge retrieval solution that's been designed specifically for LLM applications. We turn complex infrastructure into a few API calls. Give your LLMs private information, such as internal company documents, that was not in the training data. Store old messages in the Knowledge Base, and retrieve the most pertinent ones every time the user sends another message. Reduce hallucinations when you include relevant information in your prompts. Instruct the LLM only to use the information that it has been given. Superpowered AI's knowledge retrieval system allows you to retrieve the correct information and insert it directly into your LLM prompts. This allows you to provide highly relevant responses to users. Create a knowledge database directly from local files or folders, URLs, and query using REST API in less than 10 lines. Multi-stage knowledge retrieval pipeline that is state-of-the art to provide the most relevant results.
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    Deep Lake Reviews

    Deep Lake

    activeloop

    $995 per month
    We've been working on Generative AI for 5 years. Deep Lake combines the power and flexibility of vector databases and data lakes to create enterprise-grade LLM-based solutions and refine them over time. Vector search does NOT resolve retrieval. You need a serverless search for multi-modal data including embeddings and metadata to solve this problem. You can filter, search, and more using the cloud, or your laptop. Visualize your data and embeddings to better understand them. Track and compare versions to improve your data and your model. OpenAI APIs are not the foundation of competitive businesses. Your data can be used to fine-tune LLMs. As models are being trained, data can be efficiently streamed from remote storage to GPUs. Deep Lake datasets can be visualized in your browser or Jupyter Notebook. Instantly retrieve different versions and materialize new datasets on the fly via queries. Stream them to PyTorch, TensorFlow, or Jupyter Notebook.
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    ChatRTX Reviews
    ChatRTX allows you to personalize a GPT Large Language Model (LLM) by connecting it to your own data, such as documents, images, notes or other content. Using TensorRT, retrieval-augmented-generation (RAG), and RTX-accelerated acceleration, you can ask a custom chatbot for contextually relevant responses. Because it runs locally on a Windows RTX PC, you can get fast and secure answers. ChatRTX supports a variety of file formats including text, PDFs, doc/docxs, JPGs, PNGs, GIFs, and XML. The application will load your files into the library within seconds by pointing it at the folder that contains them. ChatRTX has an automatic speech recognition feature that uses AI to process spoken languages and provide text answers in multiple languages. Click the microphone icon to start.
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    Baidu Natural Language Processing Reviews
    Baidu Natural Language Processing is a cutting-edge technology that uses Baidu's vast data collection to develop natural language processing. Natural Language Processing is open to several core capabilities and solutions. These include more than ten types of abilities, such as sentiment analyses, address recognition, or customer comments analysis. Lexical analysis, which is based on word segmentation and part-of speech tagging technology, allows you to find basic language elements and eliminate ambiguity. It also supports accurate understanding. Semantic similarity can be calculated using deep neural networks, high-quality internet data, and vectorization to meet the requirements of business scenarios for high precision. Word vector representation is able to calculate texts by vectorizing words. It can help you complete semantic mining quickly.
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    JuicyScore Reviews
    Fintech companies can benefit from digital fraud prevention and risk assessments. Device risk assessment, online user protection and non-personal and behavior data analysis technologies. Reduce the risk of threats and gain new customers with sustainable portfolio growth. JuicyScore helps you identify fraud, shady behaviors, and user intents, segment the flow of incoming data based on the risk level and improve the informative value and resolution in your decision-making system. Increase conversions by ensuring robust account security for clients. JuicyID provides instant authentication for clients, protecting sensitive data and limiting fraudulent activities and intentions. We identify different types of social and technical fraud, segment high-risk and low-risk segments, provide a broad dataset to enrich your scoring models and improve the resolution of your system.
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    Sapling AI Writing Assistant Reviews
    AI assistant for customer-facing departments. Sapling works with messaging platforms and CRMs to assist agents in creating personalized responses. Managers can gain conversational insights that will help them coach and prepare their teams. Sapling offers functionality for autocomplete, spelling, grammar checking, as well as snippets/canned message/text expander. All services can be hosted on-premise or in the cloud to meet security and privacy requirements. The Grammar and Spelling APIs allow Sapling's language models to be integrated into custom applications and use-cases. Sapling Suggest pulls relevant answers from a team knowledge database and allows agents to respond faster to customer inquiries by clicking on the desired response. Instead of giving brittle, decision tree-based chatbots, empower agents.
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    Sparksee Reviews
    Sparksee, formerly known as DEX, is space- and performance-friendly. It has a small footprint and can quickly analyze large networks. It is natively compatible with.Net, C++ and Python and Objective-C. The graph is represented using bitmap data structures, which allow for high compression rates. Each bitmap is divided into chunks that can be placed on disk pages to increase I/O location. Bitmaps allow operations to be computed using binary logic instructions, which simplify execution in pipelined processors. Full native indexing allows for extremely fast access to all graph data structures. Bitmaps are used to represent node adjacencies in order to reduce their footprint. Advanced I/O policies reduce the number of times each page is brought into memory. Each value in the database can only be represented once, which prevents unnecessary replication.
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    KREDO Reviews
    KREDO is the next generation Learning Platform. It provides learning courses in short, digestible chunks that best suit the leaners' current needs. This takes into account business criticality. We can see that the Micromodules concept was the main focus of KREDO's creation 2 years ago. The next step was to create a journey. Microlearning was the right choice. This was done with the intent of helping Authors break down learning content into short, targeted, focused chunks that are easy to digest and engage learners. Although this was the original intention, KREDO evolved to include an additional feature that reinforces information and helps with knowledge retention. KREDO improves learning outcomes, solves unlimited questions, and quickly answers your queries. Although access rights and permissions are always a topic of debate, when KREDO was launched they were the core questions that we wanted to answer for every organization.
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    PostgresML Reviews

    PostgresML

    PostgresML

    $.60 per hour
    PostgresML is an entire platform that comes as a PostgreSQL Extension. Build simpler, faster and more scalable model right inside your database. Explore the SDK, and test open-source models in our hosted databases. Automate the entire workflow, from embedding creation to indexing and Querying for the easiest (and fastest) knowledge based chatbot implementation. Use multiple types of machine learning and natural language processing models, such as vector search or personalization with embeddings, to improve search results. Time series forecasting can help you gain key business insights. SQL and dozens regression algorithms allow you to build statistical and predictive models. ML at database layer can detect fraud and return results faster. PostgresML abstracts data management overheads from the ML/AI cycle by allowing users to run ML/LLM on a Postgres Database.
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    ChatGPT Search Reviews
    ChatGPT Search allows ChatGPT access to real-time web information, making it an invaluable tool for finding specific and up-to date details beyond its existing knowledge. ChatGPT can now answer queries requiring recent data such as the most recent events, new research and time-sensitive issues. ChatGPT Search improves accuracy and relevance by retrieving information from trusted web sources. This is especially useful for complex topics or niche questions that require fresh insights. This feature increases ChatGPT's versatility and makes it a powerful tool for knowledge-based tasks.
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    Cloaked AI Reviews

    Cloaked AI

    IronCore Labs

    $599/month
    Cloaked AI protects AI data that is sensitive by encrypting but still allowing it to be used. Vector embeddings within vector databases can be encoded without losing functionality, so that only those with the correct key can search for vectors. It prevents inversion and other AI attacks against RAG systems, face recognition systems, etc.
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    Hydra Reviews
    Hydra is a column-oriented Postgres that is open source. No code changes required to query billions of rows. Hydra parallelizes, vectorizes, and aggregates (COUNTS, SUMs, AVGs) to deliver the speed that you've always desired on Postgres. Boost performance in every size! Hydra can be installed in just 5 minutes, without requiring any changes to your tools, extensions, syntax, data model or data model. Hydra Cloud allows for smooth sailing and fully managed operations. Different industries have different requirements. Take control of your analytics with powerful Postgres custom functions and extensions. Built by you for you. Hydra is the fastest Postgres on the market. Boost performance by using columnar storage, query parallelization, and vectorization.
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    Diffgram Data Labeling Reviews
    Your AI Data Platform High Quality Training Data for Enterprise Data Labeling Software for Machine Learning Your Kubernetes Cluster up to 3 users is free TRUSTED BY 5,000 HAPPY UBERS WORLDWIDE Images, Video, and Text Spatial Tools Quadratic Curves and Cuboids, Segmentation Box, Polygons and Lines, Keypoints, Classification tags, and More You can use the exact spatial tool that you need. All tools are easy-to-use, editable, and offer powerful ways to present your data. All tools are available as Video. Attribute Tools More Meaning. More freedom through: Radio buttons Multiple selection. Date pickers. Sliders. Conditional logic. Directional vectors. Plus, many more! Complex knowledge can be captured and encoded into your AI. Streaming Data Automation Manual labeling can be up to 10x faster than automated labeling
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    AVEVA Intelligence Reviews
    Dashboards, reports, and other tools can only be as good as the data that they access. Data sources can be taken as a whole, but they often provide valuable information to users. Visualization tools have a greater business value when they are combined with data sources. Intelligence is a tool that synthesizes data from all parts of the plant to reveal relationships that would otherwise be invisible. It breaks down large amounts of data into manageable chunks so that industrial teams can track performance against those metrics that matter most. You may discover optimization opportunities that are hidden in different functional domains or in separate data sets. Intelligence provides a single version and context data to help you make strategic decisions from your production data.
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    Athina AI Reviews

    Athina AI

    Athina AI

    $50 per month
    Monitor your LLMs during production and discover and correct hallucinations and errors related to accuracy and quality with LLM outputs. Check your outputs to see if they contain hallucinations, misinformation or other issues. Configurable for any LLM application. Segment data to analyze in depth your cost, accuracy and response times. To debug generation, you can search, sort and filter your inference calls and trace your queries, retrievals and responses. Explore your conversations to learn what your users feel and what they are saying. You can also find out which conversations were unsuccessful. Compare your performance metrics between different models and prompts. Our insights will guide you to the best model for each use case. Our evaluators analyze and improve the outputs by using your data, configurations and feedback.
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    Avanty Reviews

    Avanty

    Avanty

    $12 per month
    Avanty is an AI-powered Chrome extension that supports data analysts in their work in Metabase. Save time on generating, editing, and understanding SQL. Avanty knows about your schema and can generate SQL queries from natural language. Famously, there are two hard things in computer science, cache invalidation, naming things, and off-by-one errors. With Avanty, you don't have to worry about naming things anymore. Never worry about missing brackets, or typos in table names, or column names again. Avanty uses the power of machine learning to help you debug your SQL queries. Your expertise as a data analyst is best used talking to your business users, not writing repetitive SQL queries. Avanty lets you edit SQL queries in Metabase using natural language, drastically speeding up your workflow. Avanty breaks down complicated SQL queries into understandable chunks with smart explanations. Tab through them step-by-step.
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    Restless Bandit Reviews
    Restless Bandit collects tens to millions of job descriptions and resumes each year to build its statistical Talent Rediscovery model. This corpus of data allows research and investigation into labor market trends. This data set is dominated by white-collar workers. This examination used 19,258,407 resumes. The Restless Bandit data science team developed a vector space model that compared companies using resumes to help determine their industry classifications. After analyzing millions of resumes, it becomes clear which companies are similar. Eli Lilly, for example, tends to hire people within a group of companies like Novartis, Merck, and Novartis. A segment is a grouping of companies with high similarity ratings. The team has enough data to determine diversity at the company-by-company level for Global 2000 companies, but this report will only focus on industry segments to protect corporate privacy.
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    Secure AI Reviews
    The on-site, data secure generative AI solution trusted by enterprises. You can customize it to work with your sensitive data and proprietary information without ever connecting to internet. Secure AI is a secure alternative to ChatGPT, as it operates on local servers and does not require internet connectivity. This ensures the privacy of all user data. Our customers can now use Large Language Models (LLMs), even when working with sensitive or proprietary information, in a confident manner. Secure AI increases work efficiency by automating such tasks as document writing, software development, and contract proposals. Secure AI, unlike other AI software, does not require sensitive data to be sent over the internet. It runs on your local machine, keeping it private and usable in places where ChatGPT has been banned. Secure AI allows your business development team to generate a first draft of a proposal without requiring any engineering support.
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    Perplexity Pro Reviews
    Perplexity Pro offers the most powerful search engine on the web, with unlimited Pro Search and upgraded AI models. It also includes unlimited file uploads, image generation credits, and API credits. Perplexity Pro, a premium offering of the Perplexity AI platform is designed to give users a more reliable and advanced information retrieval experience. It can locate relevant sources quickly, summarize complex topics, and provide contextually accurate, in-depth answers to users' questions by integrating a cutting edge large language model. Perplexity Pro's user interface is designed to be intuitive and easy to use. Users can ask complex questions and receive concise and authoritative answers. Enhanced citations ensure transparency and help users verify the credibility of information.
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    Global Mapper Reviews
    Global Mapper®, a cutting-edge GIS program, provides both novice and seasoned geospatial professionals with a wide range of spatial data processing tools. It also has access to an unrivalled variety of data formats. Global Mapper's intuitive user interface is easy to use and the logical layout makes it easy for users to get up and running in no time. Organizations of all sizes quickly see a significant return for their investment in efficient data processing, accurate map design, and optimized spatial data administration. You can export vector, raster and elevation data in almost every file format, as well as many proprietary formats. Data can be exported in smaller or more manageable formats. The export area can also be cropped to a specified area or the entire screen view.
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    Reka Reviews
    Our enterprise-grade multimodal Assistant is designed with privacy, efficiency, and security in mind. Yasa is trained to read text, images and videos. Tabular data will be added in the future. Use it to generate creative tasks, find answers to basic questions or gain insights from your data. With a few simple commands, you can generate, train, compress or deploy your model on-premise. Our proprietary algorithms can be used to customize our model for your data and use case. We use proprietary algorithms for retrieval, fine tuning, self-supervised instructions tuning, and reinforcement to tune our model using your datasets.
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    Embeddinghub Reviews
    One tool allows you to operationalize your embeddings. A comprehensive database that provides embedding functionality previously unavailable on multiple platforms is now available to you. Embeddinghub makes it easy to accelerate your machine learning. Embeddings are dense numerical representations of real world objects and relationships. They can be expressed as vectors. They are often created by first defining an unsupervised machine learning problem, also known as a "surrogate issue". Embeddings are intended to capture the semantics from the inputs they were derived. They can then be shared and reused for better learning across machine learning models. This is possible with Embeddinghub in an intuitive and streamlined way.
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    writeout.ai Reviews
    OpenAI's Whisper API allows you to transcribe and translate audio files. Writeout uses the OpenAI Whisper API recently released to transcribe audio files. Upload any audio file and the application will send it via the OpenAI Whisper API using Laravel’s queued jobs. Translation makes use the OpenAI Chat API to break down the VTT file generated into smaller pieces so they fit within the prompt context limit.
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    Dynamiq Reviews
    Dynamiq was built for engineers and data scientist to build, deploy and test Large Language Models, and to monitor and fine tune them for any enterprise use case. Key Features: Workflows: Create GenAI workflows using a low-code interface for automating tasks at scale Knowledge & RAG - Create custom RAG knowledge bases in minutes and deploy vector DBs Agents Ops - Create custom LLM agents for complex tasks and connect them to internal APIs Observability: Logging all interactions and using large-scale LLM evaluations of quality Guardrails: Accurate and reliable LLM outputs, with pre-built validators and detection of sensitive content. Fine-tuning : Customize proprietary LLM models by fine-tuning them to your liking
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    Duplicacy Reviews

    Duplicacy

    Duplicacy

    $20 per year
    A new generation cross-platform cloud backup tool. Duplicacy allows you to back up your files to multiple cloud storages using client-side encryption and the highest levels of deduplication. Duplicacy is built upon a new idea, lock-free duplication. This works by using the basic file system API to manage duplicate chunks without any locks. To solve the problem of deleting unreferenced bits under lock-free conditions, a two-step fossil collection algorithm was developed. This makes it possible to delete old backups without relying on a centralized chunk database. Duplicacy is now available with a new web-based GUI that is both visually appealing and functionally powerful. You can quickly set up backup, copy and check, as well as prune jobs, to ensure your data is safe and maximize your storage space. You will find several statistical charts in the intuitive dashboard.
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    BoltAI Reviews

    BoltAI

    BoltAI

    $37 per month
    Integrate AI into your workflow now to stay ahead. BoltAI allows you to create custom AI assistants. You can tailor the AI's behaviour to specific tasks or roles. BoltAI provides a library of prompts to help you get the most from the AI assistance. Configure your keyboard shortcuts easily, allowing seamless integration into your workflow. BoltAI securely stores keys in the Apple Keychain, and automatically redacts sensitive data to ensure your privacy. BoltAI is a locally installed application that does not store or send any user input. Apple Keychain adheres to industry standard encryption methods and stores your OpenAI API key securely. The app does not track any analytics. All data is stored locally on your computer, ensuring privacy and peace-of-mind.
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    QuantRocket Reviews
    QuantRocket is a Python-based platform for researching, backtesting, and trading quantitative strategies. Built on Docker, QuantRocket can be deployed locally or to the cloud and has an open architecture that is flexible and extensible. It provides a JupyterLab environment, offers a suite of data integrations, and supports multiple backtesters: Zipline, the open-source backtester that originally powered Quantopian; Alphalens, an alpha factor analysis library; Moonshot, a vectorized backtester based on pandas; and MoonshotML, a walk-forward machine learning backtester.