Does anyone have an actual working example of Pinecone being used as part of a Langchain agent tool set? Python preferred although I’ll take whatever I can get. (I attempted this in JavaScript to start with and quickly realised the folly of my ways)
I find many examples of using langchain wrappers to add documents to Pinecone, or search for documents in Pinecone, but I don’t see any working code for the more obvious “Add Pinecone as a tool for agents to use when searching for relevant knowlegde”
i.e. using Pinecone in the way that one uses SerpAPI, or Wikipedia. As a tool for an agent.
I have a Pinecone index populated with vectors, each of which represents a chunk of knowledge from a different system. Each vector has the metadata property ‘text’ set to the full text of the knowledge entry.
The best I can manage is to get Langchain to attempt to do a vector query on Pinecone but either it barfs with “…unable to parse LLM output {text}” or it hangs. Yes, it hangs while inside the Pinecone action.
Does anyone have a working code example? I will surely share one myself if I ever get it working!
