matsui528 / faiss_tips
Some useful tips for faiss
☆613Updated last year
Alternatives and similar repositories for faiss_tips:
Users that are interested in faiss_tips are comparing it to the libraries listed below
- A library for building and serving multi-node distributed faiss indices.☆260Updated last year
- Automatically create Faiss knn indices with the most optimal similarity search parameters.☆830Updated 8 months ago
- Pure python implementation of product quantization for nearest neighbor search☆336Updated last year
- Contriever: Unsupervised Dense Information Retrieval with Contrastive Learning☆705Updated last year
- Fast and memory-efficient ANN with a subset-search functionality☆154Updated last year
- SPLADE: sparse neural search (SIGIR21, SIGIR22)☆819Updated 8 months ago
- Navigating Spreading-out Graph For Approximate Nearest Neighbor Search☆654Updated last year
- Code for ECCV2018 paper: Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors☆201Updated 4 years ago
- Code repository for the paper - "Matryoshka Representation Learning"☆447Updated 11 months ago
- Framework for evaluating ANNS algorithms on billion scale datasets.☆361Updated 2 months ago
- Unofficial faiss wheel builder☆300Updated 2 months ago
- Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch☆857Updated last year
- ⚡ A fast embedded library for approximate nearest neighbor search☆225Updated last year
- A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.☆1,684Updated 6 months ago
- SGPT: GPT Sentence Embeddings for Semantic Search☆860Updated 11 months ago
- Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search☆1,214Updated this week
- Open source implementation of "Spreading Vectors for Similarity Search"☆319Updated 3 years ago
- Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-me…☆3,440Updated 4 months ago
- A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).☆655Updated last year
- Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data☆1,279Updated this week
- Tevatron - A flexible toolkit for neural retrieval research and development.☆555Updated 2 months ago
- A lightweight benchmark for approximate nearest neighbor search☆101Updated last year
- docTTTTTquery document expansion model☆360Updated last year
- A Python framework for performing information retrieval experiments, building on http://terrier.org/☆433Updated this week
- Build Text Rerankers with Deep Language Models☆253Updated 11 months ago
- Fast and memory-efficient clustering☆256Updated last year
- Parallelformers: An Efficient Model Parallelization Toolkit for Deployment☆781Updated last year
- A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Re…☆321Updated last year
- hnsw implemented by python☆63Updated 5 years ago
- A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks☆367Updated last year