pgvector-go
awesome-vector-search
| pgvector-go | awesome-vector-search | |
|---|---|---|
| 1 | 20 | |
| 122 | 1,302 | |
| 15.4% | 4.5% | |
| 7.9 | 5.7 | |
| 3 days ago | about 1 month ago | |
| Go | ||
| MIT License | MIT License |
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.
pgvector-go
-
Rye, meet GPT3 ... and vice versa :)
alternative solution: - sqlite plugin - https://github.com/asg017/sqlite-vss - postgresql - https://github.com/pgvector/pgvector-go - redis - https://github.com/zhao-lang/redis_hnsw
awesome-vector-search
- Show HN: SimSIMD vs. SciPy: How AVX-512 and SVE make SIMD cleaner and ML faster
-
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 ]
-
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
-
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.
-
[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.
-
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?
sqlite-vss - A SQLite extension for efficient vector search, based on Faiss!
pgvector - Open-source vector similarity search for Postgres
go-faiss - This is a go library for faiss
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
go-hnsw
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
redis_hnsw - HSNW module for Redis
Milvus - A cloud-native vector database, storage for next generation AI applications
hnswlib - Header-only C++/python library for fast approximate nearest neighbors
featureform - The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
vearch - Distributed vector search for AI-native applications
marqo - Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai