FREE: Open-Source RAG Kotaemon AI🤖 GraphRAG Chat w/ Docs Locally 📄 Retrieval Augmented Generation

FREE: Open-Source RAG Kotaemon AI🤖 GraphRAG Chat w/ Docs Locally 📄 Retrieval Augmented Generation

docker run `
--env GRADIO_SERVER_NAME=0.0.0.0 `
--env GRADIO_SERVER_PORT=7860 `
--publish 7860:7860 -it --rm `

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[timothywcrane]

I do not believe this has actual graph traversal upon inference... Graph RAG. Instead, it offers hybrid RAG with both full text and vector search. The only place graphs are apparent is in the inference reply on screen and in the videos promoting it. It is an easy miss (and in the end I could be wrong as I only brushed the code) as many other sources have reported this (probably just going on sight)... but after a quick look see, I see no graph traversal mentioned on the Readme or with a simple browse (tldgrep) of the repo.

It still looks like a great UI with hybrid RAG. The inclusion of the graph object looks really nice. If it is in fact a part of the inference cycle, please let me know.

As a self-correction, I see the GraphRAG is an optional pipeline (always read to the end my friends).

[robrever]

If this is a "local" model, why does it refuse to work if I disconnect my internet?

[tytanyo]

Not having an API feature (ex: Langflow), not worth in production...

[ktolis]

after running zed i returned to pycharm, certainly not installing again