Best Open Source Vector Databases
Ranked by GitHub stars and 252 days of tracked growth. The top open source vector databases below are updated daily — pick two to see a full side-by-side comparison.
1
anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
2
llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
3
meilisearch
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
4
llama_index
LlamaIndex is the leading document agent and OCR platform
5
milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
6
PageIndex
📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG
7
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/
8
onyx
Open Source AI Platform - AI Chat with advanced features that works with every LLM
9
cognee
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
10
RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
11
Resume-Matcher
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
12
weaviate
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.
⚖️ Compare vector databases head-to-head
Real adoption data, side by side.