pgANN
pg-costop
| pgANN | pg-costop | |
|---|---|---|
| 2 | 1 | |
| 290 | 42 | |
| 0.3% | - | |
| 0.0 | 3.9 | |
| 3 months ago | over 3 years ago | |
| Python | PLpgSQL | |
| MIT License | MIT License |
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pgANN
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Pinecone raises $100M Series B
Why do you use pgvector instead of pgANN? My understanding is pgANN is built with FAISS. When I compared pgvector with FAISS, pgvector was 3-5x slower.
https://github.com/netrasys/pgANN
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Pgvector – vector similarity search for Postgres
Love it! Need better ANNs approaches in databases, using external servers such as Milvus, faiss is a pita
related: https://github.com/netrasys/pgANN
pg-costop
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Pgvector – vector similarity search for Postgres
I’ve done something similar (heh) in pure Postgres: https://github.com/turbo/pg-costop
What are some alternatives?
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python
Milvus - A cloud-native vector database, storage for next generation AI applications
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
similarity - TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
faiss - A library for efficient similarity search and clustering of dense vectors.
pgvector - Open-source vector similarity search for Postgres
DiskANN - Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search
magnitude - A fast, efficient universal vector embedding utility package.