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on
1
Intro
2
Vector Search Recap
3
Why Filter?
4
Metadata Filtering 101
5
Pre-filtering
6
Post-filtering
7
Single-Stage Filtering
8
Vectors and Metadata Code
9
Connecting to Pinecone
10
Building Query Vector
11
Querying
12
First Filter
13
Adding More Conditions
14
Filtering with Numbers
15
Search Speed and Filtering
16
Outro
Description:
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.

Metadata Filtering for Vector Search - Latest Filter Tech

James Briggs
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