Best Open Source Vector Databases
Ranked by GitHub stars and 343 days of tracked growth. The top open source vector databases below are updated daily β 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
meilisearch
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
3
serviette
A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
4
llama_index
LlamaIndex is the document processing platform for AI
5
milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
6
OpenViking
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
7
PageIndex
π PageIndex: Document Index for Vectorless, Reasoning-based RAG
8
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/
9
onyx
Open Source AI Platform - AI Chat with advanced features that works with every LLM
10
cognee
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
11
RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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 databaseβ.
βοΈ Compare vector databases head-to-head
Real adoption data, side by side.