Alternatives to deepset

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.

Speechmatics is the most accurate and inclusive speech-to-text API ever released. Speechmatics is the world’s leading expert in Speech Technology, combining the latest breakthroughs in AI and ML to unlock the business value in human speech. Businesses use Speechmatics worldwide to accurately understand and transcribe human-level speech into text regardless of demographic, age, gender, accent, dialect, or location in real-time and on recorded media. Combining these transcripts with the latest AI-driven speech capabilities, businesses build products that utilize summarization, topic detection, sentiment analysis, translation, and more. How is Speechmatics different? * The most accurate speech recognition on the market * 55 languages with vast accent and dialect coverage * Cloud-based or on-premises deployment options for data security * Real-time transcription with low latency and high accuracy * Real-time translation with 69 language pairs * Speech Understanding features such as Summaries, Sentiment, Topic Detection, Chapters, Audio Events * Fast and secure transcriptions for pre-recorded audio * Automatic translation and language identification * A culture of R&D in deep learning and speech recognition

With just a few lines, you can integrate natural language understanding and generation into the product. The Cohere API allows you to access models that can read billions upon billions of pages and learn the meaning, sentiment, intent, and intent of every word we use. You can use the Cohere API for human-like text. Simply fill in a prompt or complete blanks. You can create code, write copy, summarize text, and much more. Calculate the likelihood of text, and retrieve representations from your model. You can filter text using the likelihood API based on selected criteria or categories. You can create your own downstream models for a variety of domain-specific natural languages tasks by using representations. The Cohere API is able to compute the similarity of pieces of text and make categorical predictions based on the likelihood of different text options. The model can see ideas through multiple lenses so it can identify abstract similarities between concepts as distinct from DNA and computers.

Qdrant is a vector database and similarity engine. It is an API service that allows you to search for the closest high-dimensional vectors. Qdrant allows embeddings and neural network encoders to be transformed into full-fledged apps for matching, searching, recommending, etc. This specification provides the OpenAPI version 3 specification to create a client library for almost any programming language. You can also use a ready-made client for Python, or other programming languages that has additional functionality. For Approximate Nearest Neighbor Search, you can make a custom modification to the HNSW algorithm. Search at a State of the Art speed and use search filters to maximize results. Additional payload can be associated with vectors. Allows you to store payload and filter results based upon payload values.

Production-ready AI models that are fast and accurate. High-availability inference API that leverages the most advanced NVIDIA GPUs. We have selected the most popular open-source natural language processing models (NLP) and deployed them for the community. You can fine-tune your models (including GPT-J) or upload your custom models. Then, deploy them to production. Upload your AI models, including GPT-J, to your dashboard and immediately use them in production.

Search powered by AI allows you to find specific answers and trends in documents and websites. Watson Discovery is an AI-powered search engine and text-analytics. It uses market-leading natural language processing technology to understand the unique language of your industry. It quickly finds answers in your content and uncovers business insights from documents, webpages, and big data. This reduces research time by more that 75%. Semantic search goes beyond keyword search. Watson Discovery provides context for answers to questions, which is a departure from traditional search engines. It quickly scans your connected data sources to find the most relevant passage, and then provides the source documents or webpage. Natural language processing and next-level search capabilities make all information accessible.

Document processing can be complicated but it doesn't need to be. Intelligent document processing platform that can understand what you are trying to find, extract and categorize. Infinia ML uses machine-learning to quickly understand context and the relationships between words and charts. We can help you achieve your goals with our machine learning capabilities. Machine learning can help you make better business decisions. We tailor your code to your business problem, uncovering hidden insights and making accurate predictions to help your zero in on success. Our intelligent document processing solutions don't work by magic. They are based on decades of experience and advanced technology.

Repustate is an AI-powered semantic search, sentiment analytics and text analysis platform that provides world-class AI-powered data mining for organizations worldwide. It allows businesses to analyze terabytes and uncover valuable, actionable business insights. Repustate offers continuous deep dives into complex, integrated data across all industries, from our respected clients in the Healthcare sector to leaders in Education, Banking, Governance. Our solution drives sentiment analysis, text analytics, Voice of Customer (VOC), video content analysis (VCA), across platforms. It covers the multitude of acronyms, emojis, and slangs that supersede formal language in social media. It doesn't matter if you have data from Youtube, IGTV or Facebook, Twitter, TikTok or your own customer reviews forums, employee surveys or EHRs. You can pinpoint the most important aspects of your business.

OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.

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.

Zevi is a site-search engine that uses natural language processing (NLP), and machine learning (ML), to better understand users' search intent. Zevi uses its ML models to produce the most relevant search results instead of relying on keywords. They have been trained using vast amounts of multilingual data. Zevi is able to deliver highly relevant results regardless of search query, providing users with an intuitive search experience that minimizes cognitive load. Zevi also allows website owners to create personalized search results, promote specific search results based upon different criteria, and use search data to inform business decisions.

Inbenta Semantic Search Engine's ability understand customer queries allows for more accurate results. The search engine is the most widely used self-service tool on websites, with 85% of sites using it. However, being able to provide the most relevant information could make the difference between a good and poor customer experience. Inbenta Search pulls data directly from your customer relationship tools such as Zendesk and Salesforce.com, as well as from other designated websites. The semantic Inbenta Search uses Inbenta Symbolic AI technology and Natural Language Processing technology to quickly understand customer questions and provide the most relevant answers. This will reduce support costs and help you save money. Inbenta Symbolic AI technology means there is no need to train data. This allows you to quickly deploy and use the Inbenta Search engine tool.

Klevu is an intelligent site-search solution that helps e-commerce businesses increase their onsite sales and improve customer online shopping experience. Klevu powers the navigation and search experience for thousands of enterprise and mid-level online retailers. It leverages advanced semantic search, natural word processing, merchandising, and multilingual capabilities to ensure that visitors to your site find exactly the information they need, regardless of device or query complexity.

The era of Big Data is here, where data-driven insights can transform your business. The solution is here: a powerful, innovative, and adaptive platform that provides all the features you need to search, discover, and analyze your data. It is called 3RDi "Third Eye" It is the semantic search engine your company needs to take action, increase revenues, and cut costs. It is powered by NLP and semantic searches and designed for multidimensional information analysis as well as easy search relevancy management. The comprehensive, scalable platform that solves every problem in search and text mining. It can manage unstructured content and extract deeper insights that will help you grow your business. 3RDi is more than a search engine. It offers a complete suite of solutions for text mining and enterprise search, as well as content integration, governance, analytics, and much more.

Vespa is forBig Data + AI, online. At any scale, with unbeatable performance. Vespa is a fully featured search engine and vector database. It supports vector search (ANN), lexical search, and search in structured data, all in the same query. Integrated machine-learned model inference allows you to apply AI to make sense of your data in real-time. Users build recommendation applications on Vespa, typically combining fast vector search and filtering with evaluation of machine-learned models over the items. To build production-worthy online applications that combine data and AI, you need more than point solutions: You need a platform that integrates data and compute to achieve true scalability and availability - and which does this without limiting your freedom to innovate. Only Vespa does this. Together with Vespa's proven scaling and high availability, this empowers you to create production-ready search applications at any scale and with any combination of features.

Objective is a multimodal API that works for your business, not the opposite. Objective understands both your data and your users to provide natural, relevant results. Even if your data is inconsistent, incomplete or inaccurate. Objective understands the human language and can'see' inside images. Your web and mobile app search can interpret what users are saying, and relate it to the meanings that images convey. Objective can understand the relationships between large text articles and their parts, allowing you to build context-rich search experiences. The best-in-class results come from combining all the most effective search techniques. It's not just about one approach. It's all about a tight, top-to-bottom integration that is curated and combines the best search and retrieval techniques from around the world. Evaluate search results on a large scale. Anton is your evaluation copilot, able to judge search results with near human precision. Available as an API.

A true second brain for knowledge-based work. Orchard is an AI assistant that can converse with you and understand complex requests. Orchard Classic is still the best AI editor for text editing. Ask questions about your documents from wherever they are located. Neural search across all your documents + synthesis using AI = The best way to learn from your work. A text editor that can finish your sentences and suggest related ideas, based on your institutional knowledge. AI text editing is now contextually aware. Orchard should be your personal analyst, able to understand you and your work. Orchard will determine if and how it can use the information it has about you each time you submit a request. It's almost as if ChatGPT had cited sources that included resources relevant to your work. Orchard is able to break down complex tasks much more accurately than ChatGPT. Orchard creates a search engine that can find all your data. Orchard is being integrated with businesses.

You can access countless corporate documents and systems, regardless of platform, and keep track millions of data. A combination of state-of-the art neural search techniques, enterprise search functionality, and many standard connectors create a new search experience. INTERGATOR Cloud can also be hosted by a German hoster. This allows you to comply with all requirements of German and European law, especially data protection. We adapt to your needs. INTERGATOR Cloud is easily scaleable to meet your search needs. You can search your company data anywhere in the world, and access information without complicated VPN solutions. Natural Language Processing (NLP), and neural networks are used to train models that can extract the most important information from documents and data, and then consider the entire information stock. This comprehensive solution provides you with the best information and knowledge management.

GPT-4 (Generative Pretrained Transformer 4) a large-scale, unsupervised language model that is yet to be released. GPT-4, which is the successor of GPT-3, is part of the GPT -n series of natural-language processing models. It was trained using a dataset of 45TB text to produce text generation and understanding abilities that are human-like. GPT-4 is not dependent on additional training data, unlike other NLP models. It can generate text and answer questions using its own context. GPT-4 has been demonstrated to be capable of performing a wide range of tasks without any task-specific training data, such as translation, summarization and sentiment analysis.

Haystack’s pipeline architecture allows you to apply the latest NLP technologies to your data. Implement production-ready semantic searching, question answering and document ranking. Evaluate components and fine tune models. Haystack's pipelines allow you to ask questions in natural language, and find answers in your documents with the latest QA models. Perform semantic search to retrieve documents ranked according to meaning and not just keywords. Use and compare the most recent transformer-based language models, such as OpenAI's GPT-3 and BERT, RoBERTa and DPR. Build applications for semantic search and question answering that can scale up to millions of documents. Building blocks for the complete product development cycle, including file converters, indexing, models, labeling, domain adaptation modules and REST API.

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.

Vantage Discovery is an AI-powered SaaS that enables intelligent searches, discovery and personalized recommendations. Retailers can create awe-inspiring user experiences with Vantage Discovery. Use generative AI for personalized recommendations, product discovery, and semantic search. Search capabilities can be transformed from keyword-based search to natural language semantics, where the user's intent, meaning, and context is understood and used for exceptional experiences. Create new and delightful experiences for your users, based on their preferences, interests, intent, and the merchandising goals of your company. Deliver personalized and targeted results for millions of items within milliseconds using a semantic understanding the user's query. Deliver powerful features through simple APIs to deliver delightful user experiences.

*GraphDB allows the creation of large knowledge graphs by linking diverse data and indexing it for semantic search. * GraphDB is a robust and efficient graph database that supports RDF and SPARQL. The GraphDB database supports a highly accessible replication cluster. This has been demonstrated in a variety of enterprise use cases that required resilience for data loading and query answering. Visit the GraphDB product page for a quick overview and a link to download the latest releases. GraphDB uses RDF4J to store and query data. It also supports a wide range of query languages (e.g. SPARQL and SeRQL), and RDF syntaxes such as RDF/XML and Turtle.

Natively store data for graphs, documents and search needs. One query language allows for feature-rich access. You can map data directly to the database and access it using the best patterns for the job: traversals, joins search, ranking geospatial, aggregateions - you name them. Polyglot persistence without the cost. You can easily design, scale, and adapt your architectures to meet changing needs with less effort. Combine the flexibility and power of JSON with graph technology to extract next-generation features even from large datasets.

Help your website visitors become buyers. LupaSearch provides accurate search results to boost your business sales. Search marketing tools that increase conversion rates. Dynamic filtering and sorting, A/B tests, search result personalization, products merchandising. LupaSearch combines dashboard controls and analytics to continuously improve search, while keeping you in control of your customers' experience. Give your customers an experience they will remember. LupaSearch refines and speeds up ecommerce searches with features such as autocomplete in split seconds, synonym and typo recognition, spell check, support for multi-languages, and multi-alphabets. Your shoppers can now benefit from the most advanced search technology available. Visual search lets your shoppers search in any way they like.

Dgraph is an open-source, low-latency, high throughput native and distributed graph database. DGraph is designed to scale easily to meet the needs for small startups and large companies with huge amounts of data. It can handle terabytes structured data on commodity hardware with low latency to respond to user queries. It addresses business needs and can be used in cases that involve diverse social and knowledge networks, real-time recommendation engines and semantic search, pattern matching, fraud detection, serving relationship information, and serving web applications.

Spark NLP is an open-source library that provides scalable LLMs. The entire code base, including the pre-trained model and pipelines, is available under Apache 2.0 license. The only NLP library that is built natively on Apache Spark. The most widely used NLP Library in the enterprise. Spark ML offers a set machine learning applications which can be built with two main components: estimators and transformors. The estimators use a method to secure and train a piece of information for such an application. The transformer is usually the result of an fitting process that applies changes to the dataset. These components are embedded in Spark NLP. Pipelines combine multiple estimators and transformators into a single workflow. They allow for multiple transformations to be chained along a machine learning task.

ChatGPT is an OpenAI language model. It can generate human-like responses to a variety prompts, and has been trained on a wide range of internet texts. ChatGPT can be used to perform natural language processing tasks such as conversation, question answering, and text generation. ChatGPT is a pretrained language model that uses deep-learning algorithms to generate text. It was trained using large amounts of text data. This allows it to respond to a wide variety of prompts with human-like ease. It has a transformer architecture that has been proven to be efficient in many NLP tasks. ChatGPT can generate text in addition to answering questions, text classification and language translation. This allows developers to create powerful NLP applications that can do specific tasks more accurately. ChatGPT can also process code and generate it.

The complete platform for all aspects of research. {Instantly retrieve and wrangle the insights you need, no matter your source of unstructured data.|No matter what source of unstructured data, you can instantly retrieve and extract the insights that you need.} Find answers from millions of public sources like SEC Filings, Earnings Calls and expert network transcripts. Or leverage your firm's expertise. Hebbia can instantly connect to any source of unstructured information in your company, and can ingest any file type or API. You can work faster by using tools for diligence and research processes, regardless of the task. With a single click, you can spread financials, find public comps or structure unstructured information. Hebbia is trusted with the most sensitive data by some of the world's most powerful financial institutions and governments. Security is our core. Hebbia is the only encrypted search engine available on the market.

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.

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.

Machine learning models can transform your knowledge into text-based workflows that are scaleable and human-level. You can either create your own models, retrain our models for your task, or purchase Primer models off the shelf. Primer Automate is available to anyone in your company. No coding or technical skills are required. You can add a structured layer to your data and create an scalable, self-curating knowledgebase that can quickly scan through billions of documents. Quickly find answers to critical questions, track updates in real-time, and generate easy-to-read reports automatically. To find the most important information, process all your documents, emails and social media. Primer Extract makes it easy to quickly and efficiently explore your data using cutting-edge machine learning techniques. Extract offers more than keyword search. It also provides OCR, translation, and image recognition capabilities.

Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. You can easily create a comprehensive, up-to date map of your data landscape using automated data discovery, sensitive classification, and end to end data lineage. Data consumers can find trustworthy, valuable data. Automated data discovery, lineage identification and data classification across on and off-premises, multicloud, as well as SaaS sources. For more effective governance, a unified map of all your data assets and their relationships. Semantic search allows data discovery using technical or business terms. Get insight into the movement and location of sensitive data in your hybrid data landscape. Purview Data Map will help you establish the foundation for data usage and governance. Automate and manage metadata from mixed sources. Use built-in and customized classifiers to classify data and Microsoft Information Protection sensitive labels to protect it.

OpenText™, Unstructured Data Analytics Products use AI and machine learning in order to help organizations discover and leverage key insights that are hidden deep within unstructured data such as text, audio, videos, and images. Organizations can connect their data at scale to understand the context and content locked in high-growth, unstructured content. Unified text, speech and video analytics support over 1,500 data formats to help you uncover insights within all types media. Use OCR, natural language processing and other AI models to track and understand the meaning of unstructured data. Use the latest innovations in deep neural networks and machine learning to understand spoken and written language in data. This will reveal greater insights.

Watson Natural Language Understanding, a cloud native product, uses deep learning to extract metadata such as entities, keywords and categories, sentiments, emotions, relations, and syntax. Text analysis can be used to uncover the topics in your data. It extracts keywords, concepts and categories. Unstructured data can be analyzed in more than 13 languages. Machine learning models for text mining are available that can be used outside-of-the box to provide high accuracy across your content. Watson Natural Language Understanding can be deployed behind your firewall or on any other cloud. Watson Knowledge Studio allows you to train Watson to understand your business language and extract custom insights. You can keep control of your data and have the assurance that it is safe and secure. IBM will not store or collect your data. Our advanced natural language processing service (NLP), gives developers the tools to extract valuable insights from unstructured information.

Our AI-powered natural speech processing technology can extract, analyze, and visualize customer communications. Chats, emails, chats, support tickets, return requests, social media, surveys, and call transcriptions. All available in 47 languages Explorer makes it easy for anyone to analyze open-ended text responses in just minutes. Explorer offers an API that allows users to integrate unstructured text data into their business intelligence ecosystem. Employee experience is the study of factors that motivate and make employees happy. Our products allow companies to quickly process, analyze, and understand large amounts unstructured natural languages data. A simple platform to create custom bots that are tailored to your business needs. You can start in minutes for immediate efficiency gains. The Gavagai API supports 47 languages. Get our endpoints right away!

Jina Search makes it easy to search for any topic in seconds. It's faster and more accurate than traditional search engines. Our AI search captures all information stored in images, text, and provides you with the most comprehensive results. Jina Search unlocks the power of search to revolutionize how you find what your looking for. Classical Search was unable to retrieve relevant results because not all items in the dataset had the right label. Jina Search does not rely on tags and was able to find better items. Make the most of state-of-the art ML models that can work with multiple data types, including images and text. All customizations are maintained by Elasticsearch. Jina Search will automatically recognize each image in your database and store it accordingly.

Amazon Comprehend uses machine learning to discover insights and relationships in text. No prior machine learning experience is required. Your unstructured data can hold a treasure trove. Your unstructured data can provide valuable insights into customer sentiment. These include customer emails, product reviews, support tickets, social media and even advertising copy. How can you get there? Machine learning is able to identify specific items of interest within large swathes text (such finding company names in analyst report), and can also learn the sentiment hidden within language (identifying negative customer reviews or positive customer interactions with service agents). This is possible at a nearly limitless scale. Amazon Comprehend uses machine-learning to help you discover the relationships and insights in your unstructured data.

Zeta Alpha is the best Neural Discovery Platform to AI and beyond. You and your team can use state-of the-art NeuralSearch to improve the way you and others discover, organize, and share knowledge. Modern AI can help you make better decisions, avoid reinventing your wheel, and make it easier to stay in the know. The most up-to-date neural discovery across all relevant AI research sources and engineering information sources. With a seamless combination search, organization, recommendation, you can ensure that nothing is left behind. You can improve decision-making and reduce risks by having a single view of all relevant information, both internal and external. Get a clear view of what your team is reading or working on.

Vald is a distributed, fast, dense and highly scalable vector search engine that approximates nearest neighbors. Vald was designed and implemented using the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT for searching neighbors. Vald supports automatic vector indexing, index backup, horizontal scaling, which allows you to search from billions upon billions of feature vector data. Vald is simple to use, rich in features, and highly customizable. Usually, the graph must be locked during indexing. This can cause stop-the world. Vald uses distributed index graphs so that it continues to work while indexing. Vald has its own highly customizable Ingress/Egress filter. This can be configured to work with the gRPC interface. Horizontal scaling is available on memory and cpu according to your needs. Vald supports disaster recovery by enabling auto backup using Persistent Volume or Object Storage.

Businesses and developers can now create cutting-edge neural searches, generative AI and multimodal services using state of the art LMOps, LLOps, and cloud-native technology. Multimodal data is everywhere. From tweets to short videos on TikTok to audio snippets, Zoom meeting records, PDFs containing figures, 3D meshes and photos in games, there's no shortage of it. It is powerful and rich, but it often hides behind incompatible data formats and modalities. High-level AI applications require that one solve search first and create second. Neural Search uses AI for finding what you need. A description of a sunrise may match a photograph, or a photo showing a rose can match the lyrics to a song. Generative AI/Creative AI use AI to create what you need. It can create images from a description or write poems from a photograph.

HumanFirst offers a highly efficient infrastructure and workflows for exploring, curating and scaling your AI training data. We produce the capabilities to scale NLU & NLP. HumanFirst is a conversational AI platform. Real voice-of-the-customer data, always in the loop. HumanFirst Studio makes it easy to work with text and voice data to train and maintain NLU models that understand natural language. You can replace ad-hoc data collection and labeling with a seamless experience that lets you build and improve your AI's performance with real data. To train AI that understands customers, import your Search and Help Center requests and emails. Improve accuracy and discover intents. It is difficult to figure out what intents you need and to come up with training phrases manually. This can lead to poor coverage and inaccurate intents.

At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.

A no-code console can read natural language and handle text data. Never again will you need a spreadsheet. Spreadsheets don't know the meanings of words or languages. SimpleX knows this, as do you. There are no complicated queries or machine learning gibberish. A.I. A.I. is well hidden behind a simple, intuitive UI. Free text answers 10x faster than traditional analysis In seconds, import, tag, categorize and filter hundreds of quotes. Our A.I. Our A.I. does all the heavy lifting. Instant word clouds or treemaps, ready to be used in your presentation. Clean exports with all the necessary insights. Understanding and processing natively 50 languages, even when mixed up. Handles up to 10k text responses such as feedback, comments, and reviews. AI-powered analytical capabilities enable you to extract insights 10 times faster. Real-time, time-consuming tasks that you thought only humans could perform. The simple and friendly solution to sophisticated AI is sophisticated AI.

Azure AI Language is an Azure managed service that allows you to develop applications for natural language processing. You can identify key terms and phrases, analyze emotion, summarize text and build conversational interfaces. Use Language to annotate AI models, train them, evaluate them, and deploy them with minimal machine learning expertise. Out-of-the-box capabilities, such as predefined entity categories for each business or text analytics for healthcare domains can help you get up and running quickly. You can also customize and optimize them when necessary. To train your machine-learning model, provide a few labeled example sentences. Multilingual models can be created in one language, and then used for many other languages. Language Studio allows you to scan your content and quickly suggest labels using advanced language models powered by GPT. Text can be categorized and labelled to extract vital information.

Site Search 360 is an intelligent, ad-free search engine for your website. You can quickly get your search up-and-running with a simple drag and drop integration. Your visitors will find exactly what they need right away. Site Search 360 features include: Visual configuration is quick and simple Search suggestions and autocomplete Search results for Facet-organized Semantic Search: Built-in Dictionary in 19 Languages + the ability to add custom synonyms Analytics to help you get more out of your search: What are your visitors looking for? What results do they click on? What queries don't bring any results? Full control over search results: boost, reorder, redirect Integration with Google Analytics & Google Tag Manager Import of Google Custom Search Promotions Amazing support: Live chat, email, and phone

Luminoso transforms unstructured text data to business-critical insights. We empower organizations to interpret and act on the information people give us by using common-sense artificial intelligence. Luminoso requires little setup, maintenance or training. It also doesn't require any data input. Luminoso combines the world's best natural language understanding technology with a vast knowledgebase to learn words from context - just like humans - and accurately analyze text in minutes instead of months. Our software offers native support in more than a dozen languages so leaders can quickly explore data relationships, make sense out of feedback, and triage queries to drive value. Luminoso, a privately held company, is headquartered in Boston MA.

Graphlogic Conversational AI Platform consists of: Robotic Process Automation for Enterprises (RPA), Conversational AI, and Natural Language Understanding technology to create advanced chatbots and voicebots. It also includes Automatic Speech Recognition (ASR), Text-to-Speech solutions (TTS), and Retrieval Augmented Generation pipelines (RAGs) with Large Language Models. Key components: Conversational AI Platform - Natural Language understanding - Retrieval and augmented generation pipeline or RAG pipeline - Speech to Text Engine - Text-to-Speech Engine - Channels connectivity API Builder Visual Flow Builder Pro-active outreach conversations Conversational Analytics - Deploy anywhere (SaaS, Private Cloud, On-Premises). - Single-tenancy / multi-tenancy - Multiple language AI

InstructGPT is an open source framework that trains language models to generate natural language instruction from visual input. It uses a generative, pre-trained transformer model (GPT) and the state of the art object detector Mask R-CNN to detect objects in images. Natural language sentences are then generated that describe the image. InstructGPT has been designed to be useful in all domains including robotics, gaming, and education. It can help robots navigate complex tasks using natural language instructions or it can help students learn by giving descriptive explanations of events or processes.

BERT is a large language model that can be used to pre-train language representations. Pre-training refers the process by which BERT is trained on large text sources such as Wikipedia. The training results can then be applied to other Natural Language Processing tasks (NLP), such as sentiment analysis and question answering. You can train many NLP models with AI Platform Training and BERT in just 30 minutes.