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How do metadata filtering and HNSW index parameters affect query latency in multi-tenant RAG systems?

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Edited by Gaurav Bhasin · Aug 23, 2026 4:55 PM

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How do metadata filtering and HNSW index parameters affect query latency in multi-tenant RAG systems?

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Optimizing M, efConstruction, and payload indexes for fast filtered vector retrieval.
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### Optimization Guide - **Payload Indexing**: Create explicit B-tree indexes on `tenant_id` metadata fields before running ANN search. - **HNSW Parameters**: Set `M=16` and `ef_construction=100` for balanced indexing speed and recall accuracy. - **Single vs Multi Collection**: Use single collections with strict tenant filters for scale under 10M vectors. *Note: This question represents expanded technical inquiry iteration #2 within the RAG & Vector Databases topic area.*
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https://developers.google.com/search/docs

Version 1 (Original Post)

Published by Gaurav Bhasin · Aug 9, 2026 5:37 AM

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Original Title

How do metadata filtering and HNSW index parameters affect query latency in multi-tenant RAG systems?

Original Summary
Optimizing M, efConstruction, and payload indexes for fast filtered vector retrieval.
Original Content
### Optimization Guide - **Payload Indexing**: Create explicit B-tree indexes on `tenant_id` metadata fields before running ANN search. - **HNSW Parameters**: Set `M=16` and `ef_construction=100` for balanced indexing speed and recall accuracy. - **Single vs Multi Collection**: Use single collections with strict tenant filters for scale under 10M vectors. *Note: This question represents expanded technical inquiry iteration #2 within the RAG & Vector Databases topic area.*
Original Sources

https://developers.google.com/search/docs