hora
faiss-rs
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| hora | faiss-rs | |
|---|---|---|
| 9 | 2 | |
| 2,554 | 185 | |
| 0.8% | - | |
| 0.0 | 6.5 | |
| 3 months ago | 25 days ago | |
| Rust | Rust | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hora
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Building a Vector Database with Rust to Make Use of Vector Embeddings
We have been playing around with Hora as a replacement for the Rust-CV implementation as we want PQ as well. I'll check out instanct-distance, looks very interesting!
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Faiss: A library for efficient similarity search
Maybe https://github.com/hora-search/hora but I've never used it
- An efficient library for nearest neighbor search in native rust
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Hora, an blazingly fast AI Similarity search algorithm library (IOS Version)
$ rustup target add aarch64-apple-ios aarch64-apple-ios $ cargo install cargo-lipo $ git clone https://github.com/hora-search/hora-ios $ cd hora-ios/hora $ cargo lipo --release
- Hora: Efficient approximate nearest neighbor search algorithms in Rust
- [Project] Announcing Hora 0.1.1, an blazingly fast AI Similarity search algorithm library
- [Project] Announcing Hora 0.1.0, an blazingly fast approximate nearest neighbor search algorithm library
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Announcing Hora 0.1.0, an approximate nearest neighbor search algorithm library in rust
github: https://github.com/hora-search/hora
faiss-rs
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Do we really need a specialized vector database?
Rewriting pgvector in Rust can enable the code to be organized in a more modern and extensible way. Rust's ecosystem is also very rich, with existing Rust bindings such as faiss-rs.
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Faiss: A library for efficient similarity search
I know rust has beings to FAISS (see https://github.com/Enet4/faiss-rs), I don't know if there's anything that would be considered comparable. Alot of work has gone into FAISS
What are some alternatives?
vald - Vald. A Highly Scalable Distributed Vector Search Engine
raft - RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Milvus - A cloud-native vector database, storage for next generation AI applications
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database.
instant-distance - Fast approximate nearest neighbor searching in Rust, based on HNSW index
hnswlib - Header-only C++/python library for fast approximate nearest neighbors
NumToA - An efficient method of heaplessly converting numbers into their string representations, storing the representation within a reusable byte array.
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python
ritelinked - RiteLinked - LinkedHashMap & LinkedHashSet in Rust
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows