Embedditor is the open-source MS Word equivalent for embedding that helps you get the most out of your vector search.

GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team.

• Embedditor @ GitHub.

the AI-native open-source embedding database.
The fastest way to build Python or JavaScript LLM apps with memory!

Chroma is the open-source AI application database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.

• Chroma @ GitHub.

Related contents:

• ChromaDB: An Open-source vector embedding database @ Futuresmart AI Blog.

the AI-native open-source embedding database. The fastest way to build Python or JavaScript LLM apps with memory!
Chroma is the open-source AI application database. Batteries included.

Embeddings, vector search, document storage, full-text search, metadata filtering, and multi-modal. All in one place. Retrieval that just works. As it should be.

• Chroma @ GitHub.