FAISS
FAISS is a C++/Python library from Facebook AI Research for efficient similarity search over large vector collections. It provides approximate nearest neighbor indexes, GPU acceleration and multiple distance metrics for embedding-based retrieval. The library supports production use and exposes index types and knobs to trade accuracy for latency.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Reference building block
This building block serves as a structured reference in the knowledge model, with core data, context, and direct relationships.
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.