JDSS/mem0
2
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

docs: improve SEO metadata across docs pages

Browse Source
This commit is contained in:
mintlify[bot]
2026-08-01 01:30:05 +00:00
committed by GitHub
parent d06ea1875c
commit 26520d4808
218 changed files with 201 additions and 232 deletions
Download Patch File Download Diff File Expand all files Collapse all files
docs/components/vectordbs/dbs/faiss.mdx
+1 -1
View File
@@ -1,6 +1,6 @@
---
title: "FAISS"
description: "Use Facebook FAISS as a high-performance vector store in Mem0, optimized for memory usage and fast similarity search."
description: "Use Meta FAISS as a high-performance local vector store in Mem0, optimized for memory usage and fast in-process similarity search over dense vectors."
---
[FAISS](https://github.com/facebookresearch/faiss) is a library for efficient similarity search and clustering of dense vectors. It is designed to work with large-scale datasets and provides a high-performance search engine for vector data. FAISS is optimized for memory usage and search speed, making it an excellent choice for production environments.