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vector-database

20 repositories with 10k+ stars are tagged vector-database.

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  1. 1

    Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

    67.3K+339 7d7.5KJavaScript2d ago
  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

    A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.

    58.8K-11 7d1.5KPython3d ago
  4. 4

    LlamaIndex is the document processing platform for AI

    52.6K+97 7d8.4KPython5d ago
  5. 5

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

    46.4K+62 7d4.3KGotoday
  6. 6

    Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.

    40.3K+580 7d3.2KPythontoday
  7. 7

    📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

    39.3K+201 7d3.4KPythontoday
  8. 8

    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
  9. 9

    Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

    32.5K+447 7d3.4KPythontoday
  10. 10

    This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

    29.9K+95 7d3.8KJupyter Notebook2d ago
  11. 11

    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
  12. 12

    Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

    16.6K+12 7d1.5KRust3mo ago
  13. 13

    A lightweight, lightning-fast, in-process vector database

    16.1K+27 7d1KC++today
  14. 14

    LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

    13.3K+36 7d2.7KJavatoday
  15. 15

    [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
  16. 16

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

    13K+16 7d1.1KPython3d ago
  17. 17

    Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

    12.6K+22 7d942TypeScript3mo ago
  18. 18

    Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

    11.7K+52 7d1.1KRusttoday
  19. 19

    🌌 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
  20. 20

    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