Metadata Filtering for Vector Search - Latest Filter Tech

Explore the complexities of metadata filtering in vector search and learn about the latest filtering techniques in this informative video. Dive into the challenges of applying fast and accurate filters during nearest-neighbor searches on massive datasets. Discover the two common methods for adding filters to vector search and their limitations, followed by an in-depth look at Pinecone's innovative solution. Learn how to implement vector search with metadata filtering through practical code examples, including connecting to Pinecone, building query vectors, and executing filtered queries. Gain insights into enhancing search performance with various filtering conditions and understand the impact of filtering on search speed.

Intro
Vector Search Recap
Why Filter?
Metadata Filtering 101
Pre-filtering
Post-filtering
Single-Stage Filtering
Vectors and Metadata Code
Connecting to Pinecone
Building Query Vector
Querying
First Filter
Adding More Conditions
Filtering with Numbers
Search Speed and Filtering
Outro