Closed SartajBhuvaji closed 7 months ago
The scores are good. but I was thinking can we join adjacent rows with same speaker together and then get embedding.
This could increase the content we send to llm for processing but it also means llm will get more context about the topic
@PrachiteeChouhan31 @jay-singhvi Yes, that's a great idea!
Let us decide the context window size and then in v2 we can send out a second query to Pinecone to fetch data in that window. This would help us get the relevant context of the conversation too.
@SartajBhuvaji are you talking about the + secs and - secs content to be retrieved when queried ?
@madhuroopa Yes. +/- window size data.
Added notebooks to play around with Pinecone
pinecone_trial_1.ipynb getting to know pinecone and understanding the basic functions
pinecone_demo_transcript.ipynb implementing data store and querying using a demo transcript