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vector-search

17 repositories with 10k+ stars are tagged vector-search.

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  1. 1

    For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

    77K+261 7d24.9KCtoday
  2. 2

    A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

    59.6K+60 7d2.7KRusttoday
  3. 3

    Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

    46.4K+62 7d4.3KGotoday
  4. 4

    Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

    35.1K+89 7d2.8KRusttoday
  5. 5

    Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

    34.7K+1.2K 7d4.6KGotoday
  6. 6

    Open Source AI Platform - AI Chat with advanced features that works with every LLM

    32.6K+164 7d4.6KPythontoday
  7. 7

    A modern replacement for Redis and Memcached

    31.8K+12 7d1.3KC++today
  8. 8

    TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.

    29.6K+1.7K 7d3KTypeScripttoday
  9. 9

    The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.

    28.8K+122 7d5.1KPython2d ago
  10. 10

    Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

    27K+137 7d1KC++6d ago
  11. 11

    A vector index built on TurboQuant, written in Rust with Python bindings

    17.4K+21 7d1.5KRust12d ago
  12. 12

    Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

    16.9K+16 7d1.4KGotoday
  13. 13

    [MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

    13K+18 7d1.3KPython2d ago
  14. 14

    💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

    13K+16 7d1.1KPython3d ago
  15. 15
    11.2K+28 7d837TypeScript1d ago
  16. 16

    🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

    10.6K+6 7d407TypeScript1d ago
  17. 17

    OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.

    10.3K+23 7d1.9KC++9d ago