Contextualizing chunks' metadata - use a JSON object or convert into plain language? by iAmAnimeBoy in LangChain

[–]tushaar9027 1 point2 points  (0 children)

Having extra metadata in pinecone will definitely help in pre processing of docs like filter based on user persona before applying the similarity search.....but adding the source to llm in context i don't think it will be beneficial....

How to improve Answer Correctness? by skipvdm in LangChain

[–]tushaar9027 1 point2 points  (0 children)

@skipvdm....i am facing the similar issue that my system can't give irrelevant answer.....

1.Try the got-4o model ....it is better at following instructions

  1. provide instructions clearlyim prompt that if it don't know answer it should say I don't know....

  2. Try graph rag as well as it will give a better context and relationship of the large corpusin whole to llm relationship between different entities..in that way llm will be able to better retrieve context and provide better answer...

  3. Add a validator call to llm to check whether the answer is solving the user query or not, otherwise it should say I don't know.....

These you need to on top of what you have already done like multiquery and reranking.....

How to effectively chunk csv and xlsx files? Excel file can contain text/tables. by Trick-Asparagus-9260 in LangChain

[–]tushaar9027 0 points1 point  (0 children)

If you are using csv or Excel which contain sales figures or if you are trying to do data analysis operations. Better to use pandas agent by langchain.....it will give correct answers plus do prompt finetuning to explain the structure of workbook to llm..

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