Alternatives to Qdrant

AddSearch provides lightning-fast, effortless, and customizable site search for any website or web application. Use our Crawler or Indexing API to index your content and keep it up-to-date. AddSearch also supports with search UI build and search setup. With enterprise-level features, such as autocomplete, synonyms, ranking tools, and progressive ranking, AddSearch scales to any needs from small businesses to large corporations.

SearchStax provides end-to-end search solutions to improve the search experience. SearchStax Site Search is a site search solution that enables companies to quickly, easily, and cost-effectively implement a high-quality search experience. SearchStax Manged Search is a fully managed Solr service to help minimize the need to managed search infrastructure. We have over 700 clients in 20+ countries. We were recognized by G2 as a High Performer for Enterprise Search. Site Search for Your Website Made Easy SearchStax Site Search provides advanced, modern, and personalized search for your website. • Best-in-Class search experience • Actionable search insight for executives and managers • Self-service tools that the marketing team can use to update and optimize search results without the need for developers • Quick Implementation for developers Fully-Managed Solr Service in the Cloud SearchStax Managed Search, a fully managed, hosted Solr service that automates, manages, and scales high-availability Solr infrastructures in public or private clouds. • Spend more time on value-added projects and build faster. • Scale faster with automation • Lower incident and SLA costs reduce costs

Algolia is an API platform for dynamic experiences that helps businesses maximize the speed of search and discovery, while solving the pain of relevance tuning through AI. Accessing the right piece of content on websites and apps has never been faster or more intuitive. Algolia Search is a powerful, fully hosted API that delivers content to users in milliseconds. Developers can customize the relevance of their user experience and get insights on how users interact with it. Algolia Recommend is a robust API that allows you to build unique product recommendations into any digital e-commerce experience.

Expertrec lets you add a custom search engine to your website/online store without any coding. It has a powerful control panel that lets you customize the look and feel of your search engine to match the theme of your website.  Features: Personalized search Autocomplete Spell correction Voice search Search as you type Faceted search PDF, XLS, DOCs search Indexing behind login pages Integrates across all major CMS platforms. WordPress / Joomla / Drupal/ Woocommerce/Shopify and more. Multiple languages supported Low latency high speed search Rated the best solution in our Category, with the highest customer ratings and success rates. Most cost-effective solution for your search needs.

Wizzy is an intelligent site search solution for eCommerce website owners. It offers comprehensive site search solutions, such as user-friendly search, user-friendly filter, merchandising, and personalisation. Benefits of using Wizzy -->Quickest Search results -Wizzy can help the end consumer find your products so quickly that they will never visit another site. -->Contextual search results -Since Wizzy is AI-powered, it can understand even if the customer uses a different search term. -->Improved sales - Wizzy helps customers find the right products faster, thus improving your overall sales. -->Influencer search results -Wizzy allows you to influence search results based on the SKUs you wish to show up at the top, or you can personalise search results for customers. Due to its ML-powered nature, Wizzy will continuously improve the customer experience. Try Wizzy now! 15-day Free trial!

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.

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.

Astra DB from DataStax is a real-time vector database as a service for developers that need to get accurate Generative AI applications into production, fast. Astra DB gives you a set of elegant APIs supporting multiple languages and standards, powerful data pipelines and complete ecosystem integrations. Astra DB enables you to quickly build Gen AI applications on your real-time data for more accurate AI that you can deploy in production. Built on Apache Cassandra, Astra DB is the only vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads, securely on any cloud. Astra DB offers unprecedented serverless, pay as you go pricing and the flexibility of multi-cloud and open-source. You can store up to 80GB and/or perform 20 million operations per month. Securely connect to VPC peering and private links. Manage your encryption keys with your own key management. SAML SSO secure account accessibility. You can deploy on Amazon, Google Cloud, or Microsoft Azure while still compatible with open-source Apache Cassandra.

Luigi's Box is a unique technological solution that uses AI to bring customers only relevant search results and personalized product suggestions, enhances the user experience, and unlocks the potential of your business. It is a year-by-year awarded easy-to-operate solution with a support team that acts in the interest of your continuous success. Luigi's Box offers easy no-code self-service integration - you only need to paste the tracking script into the header of your web. But there is more; we understand that every platform has different needs and preferences, and therefore we offer several more integration options to choose from. Luigi's Box offers several advanced features to increase search relevance and revenue and avoid fruitless searches and other unnecessary troubles, which reached out and helped companies such as O2, Mountfield, and Dr.Max. These use cases are proof that Luigi's Box is suitable for any business or industry platform on the online market.

Semantee, a managed database that is easy to configure and optimized for semantic searches, is hassle-free. It is available as a set REST APIs that can be easily integrated into any application in minutes. It offers multilingual semantic searching for applications of any size, both on-premise and in the cloud. The product is significantly cheaper and more transparent than most providers, and is optimized for large-scale applications. Semantee also offers an abstraction layer over an e-shop's product catalog, enabling the store to utilize semantic search instantly without having to re-configure its database.

MyScale is a cutting-edge AI database that combines vector search with SQL analytics, offering a seamless, fully managed, and high-performance solution. Key features of MyScale include: - Enhanced data capacity and performance: Each standard MyScale pod supports 5 million 768-dimensional data points with exceptional accuracy, delivering over 150 QPS. - Swift data ingestion: Ingest up to 5 million data points in under 30 minutes, minimizing wait times and enabling faster serving of your vector data. - Flexible index support: MyScale allows you to create multiple tables, each with its own unique vector indexes, empowering you to efficiently manage heterogeneous vector data within a single MyScale cluster. - Seamless data import and backup: Effortlessly import and export data from and to S3 or other compatible storage systems, ensuring smooth data management and backup processes. With MyScale, you can harness the power of advanced AI database capabilities for efficient and effective data analysis.

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.

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.

Chroma is an AI-native, open-source embedding system. Chroma provides all the tools needed to embeddings. Chroma is creating the database that learns. You can pick up an issue, create PRs, or join our Discord to let the community know your ideas.

Weaviate is an open source vector database. It allows you to store vector embeddings and data objects from your favorite ML models, and scale seamlessly into billions upon billions of data objects. You can index billions upon billions of data objects, whether you use the vectorization module or your own vectors. Combining multiple search methods, such as vector search and keyword-based search, can create state-of-the art search experiences. To improve your search results, pipe them through LLM models such as GPT-3 to create next generation search experiences. Weaviate's next generation vector database can be used to power many innovative apps. You can perform a lightning-fast, pure vector similarity search on raw vectors and data objects. Combining keyword-based and vector search techniques will yield state-of the-art results. You can combine any generative model with your data to do Q&A, for example, over your dataset.

LanceDB is an open-source database for AI that is developer-friendly. LanceDB provides the best foundation for AI applications. From hyperscalable vector searches and advanced retrieval of RAG data to streaming training datasets and interactive explorations of large AI datasets. Installs in seconds, and integrates seamlessly with your existing data and AI tools. LanceDB is an embedded database with native object storage integration (think SQLite, DuckDB), which can be deployed anywhere. It scales down to zero when it's not being used. LanceDB is a powerful tool for rapid prototyping and hyper-scale production. It delivers lightning-fast performance in search, analytics, training, and multimodal AI data. Leading AI companies have indexed petabytes and billions of vectors, as well as text, images, videos, and other data, at a fraction the cost of traditional vector databases. More than just embedding. Filter, select and stream training data straight from object storage in order to keep GPU utilization at a high level.

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.

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.

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.

Prefixbox’s AI Search, AI Navigation, AI Recommend and Insights solutions improve the shopping experience for increased conversion rate and revenue.

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.

Celebros' powerful recommendation engine "knows," like any good salesperson. It suggests additional items to your customers as they shop. Cross Sell's intuitive merchandising technology uses real-time search data and behavioral analytics data to suggest products that may be of interest to your customers. Cross-Sell allows customers to search for and purchase complementary products to the products they are currently shopping. Cross-Sell uses natural language semantic algorithms and past purchases to suggest products that will increase your average order value (AOV) and give you a more personal shopping experience. You can set recommendations to display results based upon your merchandising requirements. Different categories, brands, and SKU's may require different cookie cutter suggestions.

Intelligent search converts more. Intelligent search engine designed for e-commerce allows you to personalize your search experience and show the most relevant products. One engine designed for ecommerce. With faceted search, you can automatically recognize customer search intent and context. Intelligent autocorrect ensures that you deliver the correct search result every single time, even if searchers misspell words or make innocent typos. Synonym detection across multiple languages allows you to show relevant search results in languages other than English. You can create the best user experience by simply adding custom UX-blocks to any product attribute that you wish for easy filtering. Include relevant content from your blog, CMS pages, and categories.

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.

Postgres: Open-source vector similarity search Supports exact and approximate closest neighbor search for L2 distances, inner product and cosine distances.

Keyspider is a cloud-based enterprise search engine that provides accurate search results. Keyspider allows you to create your own custom website search without additional cost or time. Keyspider is able to understand the customer's needs and deliver the right results for their search queries. Websites can now enjoy better search results and more conversions. It aims to change the way customers navigate through customer websites using a search-as a-service that leaves no stone unturned. With tailored search, you can increase relevance across all mediums.

Cohere is an AI company that provides advanced language models designed to help businesses and developers create intelligent text-based applications. Their models support tasks like text generation, summarization, and semantic search, with options such as the Command family for high-performance applications and Aya Expanse for multilingual capabilities across 23 languages. Cohere emphasizes flexibility and security, offering deployment on cloud platforms, private environments, and on-premises systems. The company partners with major enterprises like Oracle and Salesforce to enhance automation and customer interactions through generative AI. Additionally, its research division, Cohere For AI, contributes to machine learning innovation by fostering global collaboration and open-source advancements.

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.

Automate product discovery to learn customer intent. Machine learning can optimize results across the board. Personalize search, autosuggests, browse, and recommendation results for each user. Computational approaches that infer intent from a user's search query. Continuously updated search results rankings using automated learning from behavioral data. Data-driven, integrated effort to provide unique results for every person and query. Advanced tools to complement automated results with merchant expertise. Automate product discovery to learn customer intent. Machine learning can optimize results across the board. You can personalize search, autosuggest and browse results for each user. Natural language processing interprets the query and provides conversion-worthy results as users type. Constructor Search learns from behavioral data.

Our AI technology will handle the rest. Copy and paste your queries or type directly into our search box. Accurate search results increase efficiency by 50-80%. JAQI®, a product description translator, makes life easier for buyers by converting their descriptions into searchable terms. Your ecommerce clients or sales reps do not need to "match" your catalog. Our search technology supports industrial material with flexible customization options. Bye-bye to the inefficient dropdown menus and filters that require you to search one line item at a given time. Search 10, 20, or 100+ line items at once and add them to your quote within seconds. JAQI API plug in easily integrates with ecommerce applications, such as websites and ERP systems, to provide fast and accurate results for your customers. Our technology makes it easier and faster than ever to find any product from any catalog, in any format. JAQI powers AI search technology for your ecommerce site or ERP.

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.

Are you looking for powerful onsite searches? You want an instant & fully-featured onsite searching? One that is affordable and easy to use. Say hello to Sooqr, an onsite search engine that makes visitors happy and increases your search conversion. It can be installed in under 15 minutes without the assistance of a developer. It integrates with many eCommerce platforms. Sooqr has all the features you need with no setup hassle. It's also affordable. Sooqr needs only one keystroke to find the relevant results. It's called "instant search". There is no waiting and no irritation from visitors. It's quick and easy. Sooqr is not averse to typos. Sooqr will not tolerate typos. Our tolerance for errors can resolve up to 80% of visitors' mistakes. Sooqr will show you the relevant filters and facets while result sets are loaded. This makes it easier for your visitors find the product or content that they are looking for.

Big Zeta Keyword Search was designed to meet the unique needs of B2B businesses. It is easy to use and maintain and offers sophisticated reporting and management of your search program. Don't worry about search results being unreliable or user experience being too slow. Our cutting-edge technology delivers. Start prioritizing site search. You can make keyword search a key part of your digital strategy with our cutting-edge functionality and robust analytical platform. Big Zeta keyword searches are fast and easy to use. They provide accurate context leveraging from multiple data sources, an intuitive interface, and the correct results at the right time and location. Big Zeta Keyword search can be maximized via a site crawl, or through connectors to your content and product systems. Automated refreshes will keep your results current. You can be sure that your site displays the most recent results.

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.

Lily AI improves the shopping experience by injecting consumer-centric words throughout the retail ecosystem. This maximizes technology investments and can deliver upwards to a nine-figure revenue boost. Lily AI transforms qualitative product attributes into a universal mathematical language that is centered on the customer, with unprecedented accuracy. This results in a scale and depth of attribution no other solution can match. Fuel your existing ecommerce platform, search engine and PIM tools, SEO/SEM, and SEO/SEM with the most accurate and deepest product attribution data available in commerce. Over 20,000 attributes are included.

Swiftype Site Search provides businesses and their customers a fast and flexible site search experience. Swiftype Site Search allows businesses to add a search function to their website. This will allow customers, readers, and followers to find highly relevant results. The solution can be tailored to meet the specific needs of a business, whether it's an online shop looking to increase conversion rates, or an online publication looking to boost engagement.

Optimize the search results for your site to increase conversions and improve the shopping experience. Our search function allows you to display all products that your visitors actively seek in your webshop. It also shows products that visitors may not know about, but which they intend to buy. Visitors can find what they're looking for more quickly and often. You can also increase your conversion and gain more control over stock. Our software allows you to create a product catalogue. Link this to your website and visitors will be able to see a product in your webshop when they search. These are the products in your shop that match up with the search query. Relevant both for your visitor, and also for you. Spotler Search allows you to improve search results at any moment. You can easily change the settings if you think that visitors should get better results from their searches.

NoCode, JavaScript components and REST APIs make it easy to create the most complex app search experiences. You can ship 10x faster if you build search on your favorite stack. You can detect user intent, set search settings, synonyms, and business rules, and deploy in seconds. Continuous relevance and engagement improvements are possible with out-of-the box search analytics and insights. Appbase.io is powered and managed by Elasticsearch, an industry-leading search engine. Appbase.io allows you to bring your Elasticsearch host or Elasticsearch search engine. Appbase.io's app layer cache offers an industry-leading search performance. Available in 16 regions worldwide with 2x failover protection. You can also self-host using our Docker image. You can set granular access controls that are based on routes and fields. You can also create multiple special purpose keys. You can set rate limits, limit IPs, and much more. To securely collaborate on appbase.io, create access policies for your team members.

Site search should work for you. Our solution combines simple setup and out-of the-box functionality with the ability for you to have full control over your search results. Get started today with high-quality site search to scale up your business. Cludo is a user-friendly product that can be used by marketers and webmasters alike. With valuable tools and features like autocomplete, intelligent 404 pages, time-sensitive banners, and more, Cludo puts you in control of your site search solution. You deserve more than just fulfilling your searches. Cludo provides an easy-to-understand dashboard with comprehensive analytics. You can increase conversions and site time by making content decisions based upon what users are actually searching.

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.

360deg relevancy across Websites, Ecommerce and Service. Every interaction, recommendation, search is made better. We help businesses deliver the experiences people want. The Coveo Relevance Cloud is the first step to relevant search. Self-optimizing AI allows you to harness the power of every click and query. You can deliver better experiences by noticing search relevance from Day 1. Then scale to full 360 degree relevance. Every query and click tells you what your customer wants. You'll be able to provide relevant product results and product and content recommendations that customers will want to 'add it to cart'. With AI-powered customer self service and AI-assisted agent answers, connect each customer to the most relevant answers quicker.

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.

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.

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.

Sinequa is an intelligent enterprise search that connects workers in the digital workplace to the information, expertise, and insights they require to do their jobs. It can handle large and complex data volumes and ensure compliance in even the most challenging environments. Employees can access relevant information and insights to increase innovation and customer responsiveness. Intelligent search empowers people to do their jobs more effectively, which results in significant cost savings. Employees can get insights from their work context to help them comply with regulations quickly and reduce financial and reputational risk. Sinequa’s Neural Search provides the most sophisticated engine for discovering enterprise information assets available on the market today. By combining state-of-the-art deep learning language models with the best NLP and statistical techniques, employees and customers spend less time searching for information and more time developing insights to drive decisions and solutions.

Create an ecommerce search experience that converts buyers to shoppers by creating relevant and personalized search results. Convert more shoppers by creating contextual relevance. Personalize the category pages to create an exceptional shopping experience for shoppers. Personalized product suggestions can increase cart size and AOV. To publish large amounts of content, you can use AI and Digital Asset management. AI-models that make site search intelligent, relevant, and personalized. Site-Search that converts buyers into shoppers across all devices: desktop, mobile, and web. Your shoppers will enjoy a smooth and fast ecommerce search experience. To help shoppers make informed business decisions, track their affinity and purchase behaviour. Get a 360-degree view of your business and deep insight.

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.

Convertopia is a leading site search solution. Convertopia offers high-quality solutions to eCommerce platforms. These solutions include on-site search, automated completion, merchandising and analytics, reports and many other high-quality options. Online businesses can create a positive customer experience that increases their customers' loyalty and helps them increase their conversation rates. We make it easy to highlight the customer's intent and connect them instantly with the right channels for engagement. Convertopia's expert team and unique product offering are on a mission to provide retailers with dynamic capabilities that help them achieve their business goals.

Hawksearch offers the best features to help you define your visitors' search experience. Hawksearch is a great tool for achieving your business goals, whether you are selling products, indexing multiple systems or searching content. Hawksearch allows me to send targeted messages and promotions to your site visitors. Hawksearch allows me to highlight products or content that I want to highlight. Hawksearch gives you the ability to do more with fewer lines of code by combining the best of SaaS, custom development, and SaaS. The website visitor's search terms are used to connect the data to PIM, ERP, or ecommerce systems. Hawksearch is a platform-agnostic tool built on Open Source Lucene technology and.NET technology. Hawksearch uses advanced machine learning and pattern analysis in order to determine the best search experience for users.

Create and manage AI applications without the need to move data to complex vector databases and pipelines. Integrate AI, vector search and real-time inference directly with your database. Python is all you need. All your AI models can be deployed in a single, scalable deployment. The AI models and APIs are automatically updated as new data is processed. You don't need to duplicate your data or create an additional database to use vector searching and build on it. SuperDuperDB allows vector search within your existing database. Integrate and combine models such as those from Sklearn PyTorch HuggingFace, with AI APIs like OpenAI, to build even the most complicated AI applications and workflows. With simple Python commands, deploy all your AI models in one environment to automatically compute outputs in your datastore (inference).