faiss
orchestra-research983 installs
Fast vector search with the right FAISS index.
What it does
Guides implementation of vector similarity search with FAISS, including index selection and performance tuning.
When to use it
Use for fast similarity search over large vector datasets, particularly when metadata filtering is unnecessary or throughput and latency matter.
How to use it
It changes how the agent implements FAISS vector search by guiding index selection, normalization, persistence, and tuning.
What you provide
- An existing project
Latest review
What you need · 3
The usage examples run Python code through FAISS's Python bindings.
The CPU usage path uses the faiss-cpu package.
The basic usage example imports numpy to create vector and query arrays.
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