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Build local vector retrieval indexes with Faiss
Use Faiss to create and query local vector indexes for agent retrieval and RAG workflows before adding heavier managed vector infrastructure.
skills/build-local-vector-retrieval-indexes-with-faiss/SKILL.md
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# Build local vector retrieval indexes with Faiss
Use Faiss to create and query local vector indexes for agent retrieval and RAG workflows before adding heavier managed vector infrastructure.
## Prerequisites
Faiss, embeddings, Python or native runtime bindings
## Installation
Requirements and caveats from upstream:
- Some of the methods, like those based on binary vectors and compact quantization codes, solely use a compressed representation of the vectors and do not require to keep the original vectors. This generally comes at th...
- Faiss comes with precompiled libraries for Anaconda in Python, see [faiss-cpu](https://anaconda.org/pytorch/faiss-cpu), [faiss-gpu](https://anaconda.org/pytorch/faiss-gpu) and [faiss-gpu-cuvs](https://anaconda.org/pyt...
