Best Vector database for Relevance AI Alternatives in 2025
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VectorDB is a simple, lightweight, fully local, end-to-end solution for using embeddings-based text retrieval.
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Build vector search and hybrid search with Elasticsearch's open source vector database — from the leaders in BM25 text search. Try Elasticsearch's vector database, free....
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Solve AI hallucinations. Vectorize powers accurate, real-time AI agents & RAG pipelines with all your organizational data, including complex documents.
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PGVecto.rs is a Postgres extension that enables scalable vector search, allowing you to build powerful similarity-based applications on top of your Postgres database.
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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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Vearch: Hybrid vector search database. Combine similarity & scalar filters for precise AI results. Scale effortlessly. Python/Go SDKs.
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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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Low code enterprise data platform for transformation, embedding and vector database load.
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Qdrant is a vector database for storing, searching, and managing high - dimensional vectors. It offers efficient storage, fast similarity search, scalability, and rich API. Ideal for AI, ML, and NLP applications. Click to learn more!
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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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Build on the only database that allows you to transact, analyze and contextualize your data in real time.
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LanceDB: Blazing-fast vector search & multimodal data lakehouse for AI. Unify petabyte-scale data to build & train production-ready AI apps.
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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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VectorChord is a high-performance PostgreSQL extension for vector similarity search. Enhanced speed, scalability & affordability. Ideal for e-commerce, research & media.
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Weaviate: The open source vector database powering AI apps. Fast vector search with structured filters. Flexible, scalable, production-ready for developers.
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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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Infinity is a cutting-edge AI-native database that provides a wide range of search capabilities for rich data types such as dense vector, sparse vector, tensor, full-text, and structured data. It provides robust support for various LLM applications, including search, recommenders, question-answering, conversational AI, copilot, content generation, and many more RAG (Retrieval-augmented Generation) applications.
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Save hundreds of hours wrangling vector data and thousands in embedding costs.The universal vector database management system.
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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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OceanBase seekdb is an open-source, AI-native search database that unifies relational, vector, text, JSON and GIS in a single engine, enabling hybrid search and in-database AI workflows.
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TopK is a cloud-native database intended for search use cases. It comes with keyword search, vector search, and metadata filtering built-in.
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pgvectorscale builds on pgvector with higher performance embedding search and cost-efficient storage for AI applications.
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HelixDB is a high-performance database system designed with a focus on developer experience and efficient data operations. Built in Rust and powered by LMDB as its storage engine, it combines the reliability of a proven storage layer with modern features tailored for AI and vector-based applications.
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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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Pinecone is the leading AI infrastructure for building accurate, secure, and scalable AI applications. Use Pinecone Database to store and search vector data at scale, or start with Pinecone Assistant to get a RAG application running in minutes.
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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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By simple dragging and combining with one's daily work and business processes, quickly build one's own AI application and realize your personalized customized AI production line.
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Discover Vektor, the AI-powered software for managing and automating decentralized finance. Simplify complex DeFi operations with plain English queries and features like transaction and alert creation, workspace building, and integration with hardware wallets.
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Superlinked is a Python framework for AI Engineers building high-performance search & recommendation applications that combine structured and unstructured data.
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Activeloop-L0: Your AI Knowledge Agent for accurate, traceable insights from all multimodal enterprise data. Securely in your cloud, beyond RAG.