vearch VS vald

Compare vearch vs vald and see what are their differences.

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vearch vald
2 13
1,913 1,463
1.3% 1.2%
9.6 9.3
11 days ago 1 day ago
Go Go
Apache License 2.0 Apache License 2.0
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.

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.

vald

Posts with mentions or reviews of vald. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-19.

What are some alternatives?

When comparing vearch and vald you can also consider the following projects:

Milvus - A cloud-native vector database, storage for next generation AI applications

awesome-vector-search - Collections of vector search related libraries, service and research papers

faiss - A library for efficient similarity search and clustering of dense vectors.

TFServingCache - Distributed model cache for TF Serving

Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

trace.moe - Anime Scene Search by Image

hora - 🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

awadb - AI Native database for embedding vectors

alvd - alvd = A Lightweight Vald. A lightweight distributed vector search engine works without K8s.

ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python