awesome-vector-database
awesome-vector-search
| awesome-vector-database | awesome-vector-search | |
|---|---|---|
| 1 | 20 | |
| 141 | 1,302 | |
| - | 4.5% | |
| 9.0 | 5.7 | |
| 5 days ago | about 1 month ago | |
| Creative Commons Zero v1.0 Universal | MIT License |
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awesome-vector-database
awesome-vector-search
- Show HN: SimSIMD vs. SciPy: How AVX-512 and SVE make SIMD cleaner and ML faster
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Reality check on good embedding model (and this idea in general)
Probably. But there are a number of free open source ones. For example, I've got a document that I'm doing embedding-keys for that has about 8000 sentences. Here's a list of some [ https://github.com/currentslab/awesome-vector-search ]
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Rye, meet GPT3 ... and vice versa :)
note: search for vector databases not written in Go but with Go clients, in case there is anything more local/lightweight: https://github.com/currentslab/awesome-vector-search
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Vector database built for scalable similarity search
https://github.com/currentslab/awesome-vector-search
I was surprised to see Elastic actually has ok support for some of this stuff, though it appears slower for most of the tasks.
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[P] My co-founder and I quit our engineering jobs at AWS to build “Tensor Search”. Here is why.
Supporting sequence of vectors does seems like a fresh air to the vector search service. I have added marqo to the list of awesome vector search (disclosure: I am the maintainer of the list) to increase your exposure.
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What are vector search engines?
If you want a proper curated list of various libraries and standalone services of vector search engines, refer to this awesome GitHub repository by Currents API.
- List of vector search libraries
- List of curated vector search libraries
- A GitHub repository that collects awesome vector search framework/engine, library, cloud service, and research papers
- Find anything fast with Google's vector search technology
What are some alternatives?
weaviate-examples - Weaviate vector database – examples
pgvector - Open-source vector similarity search for Postgres
numpy-feedstock - A conda-smithy repository for numpy.
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
SimSIMD - Up to 200x Faster Inner Products and Vector Similarity — for Python, JavaScript, Rust, and C, supporting f64, f32, f16 real & complex, i8, and binary vectors using SIMD for both x86 AVX2 & AVX-512 and Arm NEON & SVE 📐
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
citrus - (distributed) vector database
Milvus - A cloud-native vector database, storage for next generation AI applications
simdjson-feedstock - A conda-smithy repository for simdjson.
hnswlib - Header-only C++/python library for fast approximate nearest neighbors
mkl_random-feedstock - A conda-smithy repository for mkl_random.
featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.