Emacs and ChromaDB

The nice part about ChromaDB is that you can read the tables in SQLite using the new Emacs 29 sqlite-mode. That means there is no other configuration for accessing the database, you can open the sqlite file directly.

I was curious to see what metadata was extracted from an automatic document loader in LangChain. I opened the sqlite file and browsed the metadata directly to see what was available. Nice!

See also:

• Why vector databases are important to AI
• Emacs is the ultimate editor building material

Links to this note

• Chromadb

  ChromaDB is a vector database used for similarity searches on embeddings. It’s extremely easy to use if you are using Python and works well with LangChain.