vearch
Distributed vector search for AI-native applications (by vearch)
awesome-vector-search
Collections of vector search related libraries, service and research papers (by currentslab)
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vearch | awesome-vector-search | |
---|---|---|
2 | 20 | |
1,904 | 1,268 | |
2.2% | 5.0% | |
9.6 | 6.1 | |
7 days ago | 15 days ago | |
Go | ||
Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
vearch
Posts with mentions or reviews of vearch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-10.
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An AI Native database for embedding vectors
https://github.com/vearch/vearch/blob/master/engine/index/RE...
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Any database implementation from vector data search?
https://github.com/vearch/vearch this is one of the implementation
awesome-vector-search
Posts with mentions or reviews of awesome-vector-search.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-10-07.
- 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?
When comparing vearch and awesome-vector-search you can also consider the following projects:
Milvus - A cloud-native vector database, storage for next generation AI applications
pgvector - Open-source vector similarity search for Postgres