Open source embedding projects
Every project in the registry tagged embedding, ranked by real GitHub adoption.
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowle
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines
The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.
A NodeJS RAG framework to easily work with LLMs and embeddings
Related tags
Frequently asked questions
How many open source embedding projects are there?
This registry tracks 5 projects tagged embedding, with 62,466 GitHub stars between them. The most-adopted is Langchain-Chatchat at 38,713 stars.
Are these embedding projects free to use?
Yes — 5 of the 5 carry an explicit open-source licence across 2 distinct licences, so there is no licence fee. Where a project also sells a hosted or enterprise version, the self-hosted path remains free.
Which embedding project should I choose?
The list above is ranked by GitHub stars, but stars measure attention rather than fit. Check three things on each card: the licence (permissive versus copyleft), the language it is written in, and the last-push date — a high-star project that has not been pushed in a year is a liability.
Are these embedding projects still maintained?
2 of the 5 were pushed in the last 90 days, and every card shows its exact last-push date so you can see the rest. Sort your shortlist by that date before committing to a migration.