ascherbaum, 1 month ago to delhi Berlin Open Source Data Infrastructure Meetup - April 2024 - Review #Meetup #PostgreSQL #Berlin #Aiven #OpenSource #pgvector #AI https://andreas.scherbaum.la/post/2024-04-04_berlin-open-source-data-infrastructure-meetup-april-2024/
Berlin Open Source Data Infrastructure Meetup - April 2024 - Review
#Meetup #PostgreSQL #Berlin #Aiven #OpenSource #pgvector #AI
https://andreas.scherbaum.la/post/2024-04-04_berlin-open-source-data-infrastructure-meetup-april-2024/
paulox, 1 month ago to python Last night I presented the talk “Semantic search with Django and pgvector” during the Python Pescara group meeting ✨ I uploaded the slides and the video recording of the talk to my site 👇 https://www.paulox.net/2024/04/05/python-pescara-2024-04/ CC @pescara #PythonPescara #Python #Django #PGvector #Vector
Last night I presented the talk “Semantic search with Django and pgvector” during the Python Pescara group meeting ✨
I uploaded the slides and the video recording of the talk to my site 👇 https://www.paulox.net/2024/04/05/python-pescara-2024-04/
CC @pescara
#PythonPescara #Python #Django #PGvector #Vector
kellogh, 2 months ago to LLMs #pgvector is developing so fast. imo it’s probably going to be the winning approach — a vector DB isn’t a database, it’s an index, so it belongs inside the SQL RDBMS, not some external system that you have to manage https://jkatz05.com/post/postgres/distributed-pgvector/ #LLMs #AI #RAG
#pgvector is developing so fast. imo it’s probably going to be the winning approach — a vector DB isn’t a database, it’s an index, so it belongs inside the SQL RDBMS, not some external system that you have to manage https://jkatz05.com/post/postgres/distributed-pgvector/ #LLMs #AI #RAG
paulox, 3 months ago to PostgreSQL pgvector 0.6.0 has been released 🎉 It now supports parallel index builds for HNSW 🗂️ Building an HNSW index is now up to 30x faster for unlogged tables ⚡ For full release notes, please review the pgvector changelog 👇 https://github.com/pgvector/pgvector/blob/master/CHANGELOG.md#060-2024-01-29 #pgvector #vectors #embeddings #postgresql #darabase #release #hnsw #indexes
pgvector 0.6.0 has been released 🎉
It now supports parallel index builds for HNSW 🗂️
Building an HNSW index is now up to 30x faster for unlogged tables ⚡
For full release notes, please review the pgvector changelog 👇 https://github.com/pgvector/pgvector/blob/master/CHANGELOG.md#060-2024-01-29
#pgvector #vectors #embeddings #postgresql #darabase #release #hnsw #indexes