David Myriel
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vectorsearch.bsky.social
David Myriel
@vectorsearch.bsky.social
Vectors
👉 The Filtering Guide (t.ly/5hZ8X) is one of Qdrant's top writeups of 2024. In this guide, we showed you how to optimize your #vectorsearch queries with just payload metadata.

Its worth checking out - I just linked to it below. 👇
A Complete Guide to Filtering in Vector Search - Qdrant
Learn everything about filtering in Qdrant. Discover key tricks and best practices to boost semantic search performance and reduce Qdrant's resource usage.
t.ly
January 8, 2025 at 2:01 PM
SenTrEv runs simple evaluation tests to help you choose the best #embedding #model for #RAG with your PDF documents: gist.github.com/AstraBert/d4...
SenTrEv_Practical_Showcase.ipynb
SenTrEv_Practical_Showcase.ipynb. GitHub Gist: instantly share code, notes, and snippets.
gist.github.com
December 5, 2024 at 4:30 PM
Agents & RAG Auditing Platform (ARAP) by github.com/pavanjava
pavanjava - Overview
pavanjava has 114 repositories available. Follow their code on GitHub.
github.com
December 5, 2024 at 4:30 PM
Imagine this level of precision in other, more serious settings.

Link: qdrant.tech/blog/facial-...
Building a Facial Recognition System with Qdrant - Qdrant
Build an AI app that uses facial recognition embeddings & vector search to match users with their celebrity look-alikes.
qdrant.tech
December 4, 2024 at 4:15 PM
From a sample of 3000 celebrity faces, Qdrant was able to retrieve a very close match to Miguel’s face - the famous comedian Andy Samberg!

Modern ML/AI is not just about #RAG. You can do extremely powerful things with semantic search and a good embedding model.
December 4, 2024 at 4:15 PM