Thank you for elaborating. I concur about langchain and Qdrant. With langchain it was struggle to figure out what was going on under the hood, I had to pull to

Thank you for elaborating. I concur about langchain and Qdrant. With langchain it was struggle to figure out what was going on under the hood, I had to pull together multiple pieces from multiple notebooks simply to see what the Conversational Retriever Chain does. And then it was trivial to implement a variant of it myself with all pieces transparently in one place. I like the Qdrant interface and docs and seems to work well so far. For local testing I used their python client rather than docker and it was seamless to switch to their cloud. My usecase doesn’t involve pandas (maybe I wanted a breather from years of pandas-wrangling!); I think the OpenAI cookbook repo has examples of using pandas in combination with Qdrant ( and many others).