Hey Is it possible using a langchain

yes!

check this out https://gpt-index.readthedocs.io/en/latest/how_to/using_with_langchain.html

Now i will try it. But can I say that you’re like a magician?😂 you’re great, thx, hope it works in my code. For what I can I support you!

@jerryjliu0 i tried it and changing the agent to “zero-shot-react-description” I’m obtaining better results based on the text. I’m taking inspiration from this one: https://langchain.readthedocs.io/en/latest/modules/agents/examples/agent_vectorstore.html

My goal is to use a router (unfortunately using GPTTreeIndex is impossible cause I can’t summarize all my docs, they are too much and I would lose too details) for searching and combine/refine the answer based on the texts.

However, when I use LLMPredictor and a query on the GPTSimpleVectorIndex i get the best answer! (Is it due to the prompt engineering?)

How can I combine all this methods? Sorry, it’s a tricky question

@AndreaSel93 given the notebook example, did you try to define GPTSimpleVectorIndex as a Tool abstraction for an agent/

I basically followed the your 🙂 maybe i didnt get it, sorry, what do you mean for Tool abstraction? Defining the GPTSimpleVectorIndex and then passing it to the tool? If you mean this, yes I did just as indicated in the link you provided.

Ah I see. Then it might be a matter of prompt engineering on the agent side (esp tuning the text description) to get the results that you'd want