This list contains the top 12 vector databases on GitHub, ranked by the RepoRadar scoring engine across five quality dimensions. The top-ranked repo is redis/redis with 75k stars. Projects span written in C, Go, Rust, C++. Data last updated 2026-06-19.
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 q…
TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighb…
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/
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 a…
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Ll…
★39.2k⑂ 3,724⚠ 23Pythonupdated 11 months ago
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Frequently Asked Questions
What is the best vector databases on GitHub?
Based on the RepoRadar scoring engine, redis/redis is currently the top-ranked option with 75k stars and a score of 93/100.
How are vector databases repositories ranked?
Repositories are ranked by the RepoRadar score — a composite of five dimensions: Popularity (35%), Freshness (25%), Maintenance (20%), Community (10%), and Completeness (10%). Scores range from 0–100.
When was this list last updated?
This list was last updated on 2026-06-19. Data is sourced directly from GitHub's public API. No cached or fabricated repositories are used.