plippe/faiss-web-service - Docker Image | Docker Hub
By default, the faiss web service will download files for the faiss index, and for the ids to vectors mapping. This behavior can be overwritten by writting your own configuration file, and having its path as an environment variable FAISS_WEB_SERVICE_CONFIG.
The fastest way to get started is to use the docker hub image with the following command: # Healthcheck curl 'localhost:5000/ping' # Faiss search for ids 1, 2, and 3 curl 'localhost:5000/faiss/search' -X POST -d '{"k": 5, "ids": [1, 2, 3]}' # Faiss search for a vector curl 'localhost:5000/faiss/search' -X POST -d '{"k": 5, "vectors": [[54.7, 0.3, 0.6, 0.4, 0.1, 0.7, 0.2, 0.0, 0.6, 0.5, 0.3, 0.2, 0.1, 0.9, 0.3, 0.6, 0.2, 0.9, 0.5, 0.0, 0.9, 0.1, 0.9, 0.1, 0.5, 0.5, 0.8, 0.8, 0.5, 0.2, 0.6, 0.2, 0.2, 0.7, 0.1, 0.7, 0.8, 0.2, 0.9, 0.0, 0.4, 0.4, 0.9, 0.0, 0.6, 0.4, 0.4, 0.6, 0.6, 0.2, 0.5,…
related reading
- The vector database to build knowledgeable AI | Pineconepinecone.io
- Faiss: A library for efficient similarity search - Engineering at Metaengineering.fb.com
- GitHub - facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors.github.com
- GitHub - matsui528/faiss_tips: Some useful tips for faiss · GitHubgithub.com
- Voyage AI | Homevoyageai.com
- Getting started · facebookresearch/faiss Wiki · GitHubgithub.com
- Introduction to Facebook AI Similarity Search (Faiss) | Pineconepinecone.io
- turbopufferturbopuffer.com
- Welcome to Faiss Documentation - Faiss documentationfaiss.ai
- Together AI | The AI Native Cloudtogether.ai
- Does Faiss support searching from Disk? · Issue #876 · facebookresearch/faiss · GitHubgithub.com
- FAISS Python API for fast and efficient similarity searchlearnpainless.com