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Decouple indexing from querying to slash RAG costs and latency
◆ 90RelevanceOn a story from The New Stack1w ago
This removes the forced parity between the model used to build your vector index and the one used to search it. You can now optimize for high-fidelity storage and high-speed retrieval independently without the overhead of re-indexing or maintaining dual databases.
Takeaways
- Index with high-performance models and query with low-latency alternatives.
- Avoid the infrastructure overhead of maintaining multiple vector indices.
- Decouple retrieval quality from query-time compute costs.
Read the original at thenewstack.io
Cohere’s faster query model barely dents retrieval quality in its tests
fmode.me/n/coheres-faster-query-model-barely-dents-retrieval-quality-in-its-tests
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to The New Stack.
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