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New to txtai, some general questions #700
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Hello, thank you for the interest. I've also noticed your txtchat issues and I'll take a look at those. In terms of these questions.
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Thanks. I'm learning txtai from all those notebook examples. Once get ready, maybe can write a notebook about ollama + txtai + langchain. I tried to find more tutorials on youtube, but not that much and helpful. I've not run a txtchat workflow with rocket.chat successfully, the document seems not enough for a newbie. |
I'm familiar with Langchain's RAG process. When I first encountered Txtai, however, I was a bit uneasy. As the author mentioned, not all steps require LLM participation, and many models can achieve good results. I strongly agree with the author's idea. And moreover, the Txtai is the only tool I've found that supports graph RAG out of the box, which is why I'm a big fan of the project and would love to integrate it with my Langchain applications.
As a non-expert programmer, I often rely on examples. From my limited experience, I don't have a clear understanding of how to integrate Txtai and Langchain. I think Txtai can replace the embedding and retriever functions. I wonder if the author has any examples to share.
I've also discovered Txtchat, and I think the two work seamlessly together. However, I feel that Txtai lacks a graphical backend for managing embeddings. Txtai uses Faiss to store vectors. Is there a recommended graphical tool for Faiss?
Finally, once a specific knowledge base is ingested into Txtai, how can I migrate this database to other Txtai projects?
In sum:
Thanks,
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