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A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search sc…
A library for efficient similarity search and clustering of dense vectors.
Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
Header-only C++/python library for fast approximate nearest neighbors
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
Pure python implementation of product quantization for nearest neighbor search
A lightweight benchmark for approximate nearest neighbor search
CIKM'21: JPQ substantially improves the efficiency of Dense Retrieval with 30x compression ratio, 10x CPU speedup and 2x GPU speedup.
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Open-source vector similarity search for Postgres
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
An Approximate Nearest Neighbors library in Rust, based on random projections and LMDB and optimized for memory usage 💥