This cookbook guides user to implement RAG locally on CPU using
langchain tools and open source models. It enables Llama2 model to
answer queries about Intel Q1 2024 earning release using RAG pipeline.
Main libraries are langchain, llama-cpp-python and gpt4all.
If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
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Co-authored-by: Sriragavi <sriragavi.r@intel.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>
