Best Open Source vector search Libraries
A curated list of the most popular GitHub repositories tagged with vector search. Select any project to visualize its architecture and dive into the codebase using RepoMind's AI engine.
#1redis/redis
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.
#2meilisearch/meilisearch
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
#3milvus-io/milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
#4dragonflydb/dragonfly
A modern replacement for Redis and Memcached
#5qdrant/qdrant
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/
#6srbhr/Resume-Matcher
Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
#7typesense/typesense
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
#8Tencent/WeKnora
LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm.
#9neuml/txtai
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
#10yichuan-w/LEANN
[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
#11oceanbase/oceanbase
The Fastest Distributed Database for Transactional, Analytical, and AI Workloads.
#12databendlabs/databend
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
#13activeloopai/deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
#14vespa-engine/vespa
AI + Data, online. https://vespa.ai