pgANN VS magnitude

Compare pgANN vs magnitude and see what are their differences.

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pgANN magnitude
2 5
290 1,611
0.3% 0.1%
0.0 0.0
3 months ago 9 months ago
Python Python
MIT License 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.

pgANN

Posts with mentions or reviews of pgANN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-27.

magnitude

Posts with mentions or reviews of magnitude. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-23.

What are some alternatives?

When comparing pgANN and magnitude you can also consider the following projects:

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

flashtext - Extract Keywords from sentence or Replace keywords in sentences.

smlar - PostgreSQL extension for an effective similarity search || mirror of git://sigaev.ru/smlar.git || see https://www.pgcon.org/2012/schedule/track/Hacking/443.en.html

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

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

pgvector - Open-source vector similarity search for Postgres

similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

finalfusion-rust - finalfusion embeddings in Rust

DiskANN - Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search

txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows