is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that
search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting
code for evaluation and parameter tuning.Faiss documentation.Installation and Setup‚ÄãWe need to install faiss python package.pip install faiss-gpu # For CUDA 7.5+ supported GPU's.ORpip install faiss-cpu # For CPU InstallationVector Store‚ÄãSee a usage example.from langchain.vectorstores import FAISSPreviousFacebook ChatNextFigmaInstallation and SetupVector StoreCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Facebook AI Similarity Search (Faiss)
Facebook AI Similarity Search (Faiss) ->: is a library for efficient similarity search and clustering of dense vectors. It contains algorithms that
search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting
code for evaluation and parameter tuning.Faiss documentation.Installation and Setup‚ÄãWe need to install faiss python package.pip install faiss-gpu # For CUDA 7.5+ supported GPU's.ORpip install faiss-cpu # For CPU InstallationVector Store‚ÄãSee a usage example.from langchain.vectorstores import FAISSPreviousFacebook ChatNextFigmaInstallation and SetupVector StoreCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.