Best Elasticsearch's vector database Alternatives in 2024
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Use managed or self-hosted vector databases to give LLMs the ability to work on YOUR data & context.
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Build powerful AI applications with Supabase Vector. Store, query, and index vector embeddings using Postgres and Supabase's AI toolkit.
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Discover the client-vector-search library: embed, store, search, and cache vectors effortlessly. Enhance your applications with efficient vector search capabilities.
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SvectorDB allows you to set up a serverless vector database in under 120 seconds, perfect for RAG chatbots, document search, and recommendations.
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Discover Milvus, the popular vector database for enterprise users. Store, index, and manage large-scale embedding vectors with ease. Boost retrieval speed and create similarity search services using Milvus' advanced SDKs and indexing algorithms. Perfect for machine learning deployments and managing large-scale vector datasets.
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Discover Pinecone, the serverless vector database for advanced AI. Perform low-latency vector search, update in real-time, and achieve optimal results.
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Build on the only database that allows you to transact, analyze and contextualize your data in real time.
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Store and search data efficiently with Weaviate, an open-source vector database. Ideal for semantic search, generative AI, and NLP tasks.
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Discover the power of LanceDB, the serverless vector database that offers flexible search capabilities and seamless scalability. Say goodbye to management overheads and high costs.
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Supercharge your AI applications with Zilliz's Milvus vector database. Deploy and scale your vector search apps hassle-free with Zilliz Cloud.
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pgvector: An open-source vector similarity search tool for Postgres. Store vectors with data, support exact & approximate search, and perform distance calculations. Suitable for recommendation systems, image/text retrieval, and anomaly detection.
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With CrateDB, query any type of data via SQL. Ideal for time series, document, and vector data workloads. Distributed, native SQL, open source, ready for AI.
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Fast, Accurate, Production-Ready AI Turn your unstructured data into perfectly optimized vector search indexes, purpose-built for Retrieval Augmented Generation
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Discover the Alexandria platform's powerful solution for embedding and analyzing vast amounts of textual data, driving innovation and informed decisions.
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Chroma: Open-source vector database with a user-friendly API for document management and efficient queries. Perfect for content recommendation and similarity search.
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Lantern is a Postgres vector database that is scalable, cost-effective, and easy to use
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Discover how Analytics to Elevate Semantic Search can optimize embedded documents, improve search results, and enhance user experiences.
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Enable every developer to build production-grade GenAI applications with powerful and familiar SQL. Minimal Learning, Max Value, and Cost-Effective.
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Marqo is more than a vector database, it's an end-to-end vector search engine. Vector generation, storage and retrieval are handled out of the box through a single API. No need to bring your own embeddings.
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Discover Vespa, the powerful AI tool combining search engine capabilities and machine learning. Build recommendation systems, personalize experiences, and enable conversational AI with ease.
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Simplify dataset loading and create chatbots effortlessly with Embedchain. Automate data chunking, embeddings, and query functionalities.
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Say goodbye to complex MLOps pipelines and specialized vector databases. Integrate and train AI directly with your preferred database, only using Python.
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Discover the power of SemaDB, the low-cost, high-performance vector database for AI applications. Uncover hidden connections and enhance your search experience with natural language interaction.
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Trieve combines powerful language models with tools for human fine tuning. Get features like dense vector semantic search, sparse vector full-text search, cross encoder re-ranker models, RAG endpoints, relevance weighting, and more in a single service.
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Vald: A scalable, high-performance AI search engine for recommendation systems, translation, and image recognition tasks. Automate indexing and enhance search capabilities with Vald.
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Powering the next generation of AI applications with advanced and high-performant vector similarity
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Singlebase is an AI-powered backend platform that helps you build web and mobile apps faster and better.
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USearch is a highly efficient and compact single-file similarity search engine designed for vectors and upcoming text applications.
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VectorShift is a tool that enables the integration of generative AI into custom business processes.
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Elevate your business by using your data to power AI bots. Provide rich and up-to-date context to your LLM apps using our fully-managed data pipeline.