The TurboVec RAG Memory Playbook

Cut your vector-database RAM by ~87% and beat FAISS. The full playbook on TurboVec (the open-source Rust index on Google's TurboQuant): why a 10M-doc index needs 31 GB and how to shrink it to 4 GB, the pip install + quickstart code, bit-width tuning (2-bit vs 4-bit), the head-to-head FAISS benchmarks, the 4-step migration off FAISS, and how to build a fully air-gapped local RAG stack with LangChain/LlamaIndex/Haystack.

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