Hello, a very interesting project. Conratulations for putting everything together.
I have expressed some thoughts in the discussion sections of Cognita github repo:
https://github.com/truefoundry/cognita/discussions/146
It would be great if the maintainers could reply.
Hello, congratulations. Danswer looks really interesting and the name is simply great.
We are building something similar (internal enterprise search using llm) and I am thinking whether we should jump to Danswer codebase. I would have a couple of questions, if you could answer:
- how would you compare Danswer and privateGPT? Do you see it as a direct competitor?
- you posted below that you have not use llama hub connectors because they do not allow incremental updates? Can you maybe elaborate on that, examples?
- instead of pulling data from different sources, did you consider knowledge graph approach (push) where data and vector index would live together in the single graph database? What would be the advantages of your approach?
- you posted below that you had to implement a custom search. Could that possibly be avoided (with the different architecture?)