benchmark
citrus
benchmark | citrus | |
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1 | 1 | |
7 | 93 | |
- | - | |
0.0 | 7.6 | |
over 1 year ago | about 2 months ago | |
Python | Python | |
- | 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.
benchmark
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[N] We just got funded for an open-source project to make Metric Learning practical.
Regarding Milvus. Well, there are a few essential differences between our projects: - Unlike Milvus, we perform filtering during the search in the vector index, which keeps retrieval complexity close to logarithmic - same as in original HNSW. - We can support complex types of filterable payloads like geo-points - it is not a trivial problem to keep the HNSW search graph connected during filtering. We solved it in our custom implementation of the HNSW index. - Unlike Milvus, we perform a query-planning phase to determine an optimal strategy of executing queries with filters - Qdrant uses Rust programming language - it gives us an advantage in avoiding stop-the-world issues of languages with garbage collection. We also have a retrieval speed benchmark - https://github.com/qdrant/benchmark.
citrus
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Created a smol vector database in my free time. Looking to provide a LangChain integration soon!
It supports all the basic features like creating an index, inserting vectors and searching through them. Here's the GitHub link if anyone's interested in going over it: https://github.com/0xDebabrata/citrus
What are some alternatives?
fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:
pgANN - Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
vector-db-benchmark - Framework for benchmarking vector search engines
vector-search-compilation - A compilation of Vector Search Databases
vald - Vald. A Highly Scalable Distributed Vector Search Engine
awesome-vector-database - A curated list of awesome works related to high dimensional structure/vector search & database
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
pynndescent - A Python nearest neighbor descent for approximate nearest neighbors
Milvus - A cloud-native vector database, storage for next generation AI applications