NeumAI
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Self-improving vector db based on feedback
When sink is queried using search API, if the retrieved information is correct (based on feedback or by running results against a different model), we could re-ingest the retrieved query pair (query and resulting vector) back into the vector DB, but using the query as the embedded value. The goal being that in future queries we can improve / make sure that the retrieved information is correct.
@ddematheu Sounds interesting. Can you elaborate please, maybe with an example.