Guidelines to choose an index · facebookresearch/faiss Wiki
Choosing an index is not obvious, so here are a few essential questions that can help in the choice of an index. They are mainly applicable for L2 distances. We indicate:
Guidelines to choose an index · facebookresearch/faiss Wiki · GitHub Skip to content You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} Uh oh! There was an error while loading. Please reload this page . facebookresearch / faiss Public Notifications You must be signed in to change notification settings Fork 4.5k Star 40.6k Guidelines to choose an index Jump to bottom Michael Norris edited this
Explore this link on the map →related reading
- Faiss: A library for efficient similarity search - Engineering at Metaengineering.fb.com
- Faiss indexes · facebookresearch/faiss Wiki · GitHubgithub.com
- Indexing 1T vectors · facebookresearch/faiss Wiki · GitHubgithub.com
- Lower memory footprint · facebookresearch/faiss Wiki · GitHubgithub.com
- Hierarchical Navigable Small Worlds (HNSW) | Pineconepinecone.io
- Indexes that do not fit in RAM · facebookresearch/faiss Wiki · GitHubgithub.com
- Welcome to Faiss Documentation - Faiss documentationfaiss.ai
- Faster search · facebookresearch/faiss Wiki · GitHubgithub.com
- GitHub - matsui528/faiss_tips: Some useful tips for faiss · GitHubgithub.com
- Getting started · facebookresearch/faiss Wiki · GitHubgithub.com
- Nearest Neighbor Indexes for Similarity Search | Pineconepinecone.io
- Hierarchical Navigable Small Worlds (HNSW) | Pineconepinecone.io