Back to Module 1.8: Vector DatabasesComing Soon
AI Lesson & Submodule
Metadata Filtering
Filter search queries using categorical metadata and scalar tags.
Why This Matters
Post-filtering can cause results starvation if top matching vectors are excluded by categorical rules.
What You Will Learn
- •Implement post-filtering
- •Set pre-filtering boundaries
- •Avoid index fragmentation
Concepts Covered
Pre-filtering pipelinesPost-filtering boundsMetadata index tables
Mapped Foundation Project: Semantic Product Search
Search workspace loading catalog inventories into vector databases, supporting dense vector lookups and metadata query filtering.
Architecture Preview
Search gateway loading documents into vector databases, querying them on keys, and merging results streams.
Search Query InputEmbeddings TransformerVector DB Index
Tech Stack Planned
ReactTypeScriptTailwind CSS
GitHub: Coming SoonLive Demo: Coming Soon
Coming SoonTechnical Interview Value
- ?Contrast pre-filtering vs post-filtering and explain why pre-filtering avoids results starvation