Enhancing Vector Database Queries with Metadata Filtering

Join us on January 31st for our first live session of the year! Data Scientist Ryan Siegler will present on optimizing vector similarity search using metadata filtering. The presentation will cover aspects of data exploration and metadata filtering including:
Data Exploration with PandasAI
Types of filtering operators
Improvement to vector search accuracy (RAG optimization method)
Increased vector search speed
Time-based metadata filtering
Auto-Retrieval / Self Query Retrieval
The presentation will include a code walkthrough, for hands on tips in metadata filtering with vector databases. Sign up today!

[@MrTulufan]

Very helpful presentation!
0:00 Intro and housekeeping
5:06 Start of presentation / Agenda
7:02 Vector database introduction
11:04 Vector similarity search
12:12 Metadata filtering concepts
20:28 Auto / Self Query Retrieval
22:26 Time-based filtering
24:12 Metadata filtering & RAG
28:50 Demo

[@life_99995]

How to join your slack channel ?

[@KxSystems]

@life_99995 Hi, you can sign up on this link kdbai-community.slack.com/