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Task: Query a CSV file (without using built-in agents)
Input: CSV file
Output: JSON object like{"column": , "value" , "row_ids":}
If I embed the data and use a retriever on the vectorestore using similarity_search, I do not get all the matching instances in my result (as I cannot just use a very large k value). I used the 'parser' approach and got decent results. Can anyone suggest a better approach to get more accurate results?
Thanks
If I understand correctly, your problem is that your RAG retrieval system does not retrieve all the relevant context you want for a search query.
This has nothing to do with the parser, so I wouldn't ask for help with the parser, but rather I would ask for help building a better retrieval model. If I got this correct, then hopefully HyDE https://arxiv.org/abs/2212.10496 can help you out for your use case.
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