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This repository has been archived by the owner on Aug 13, 2024. It is now read-only.
With the advent of large language models (LLM), retrival augmented generation (RAG) has become a hot topic. However throught the past year of helping startups integrate LLMs into their stack I've noticed that the pattern of taking user queries, embedding them, and directly searching a vector store is effectively demoware.
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https://jxnl.github.io/instructor/blog/2023/09/17/rag-is-more-than-just-embedding-search/
With the advent of large language models (LLM), retrival augmented generation (RAG) has become a hot topic. However throught the past year of helping startups integrate LLMs into their stack I've noticed that the pattern of taking user queries, embedding them, and directly searching a vector store is effectively demoware.
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