Real ChatGPT answer · index seed5P70YNohdYUcompleteB2B software · AI and automation toolsinformational
What causes vector search accuracy to drop over time and how can we fix it without paying for expensive consulting services?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What causes vector search accuracy to drop over time and how can we fix it without paying for expensive consulting services?
1 real search · 1 real-search pass
vector search retrieval quality degradation embedding drift chunking evaluation ANN recall best practices 2025 2026Google ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
vector search retrieval quality degradation embedding drift chunking evaluation ANN recall best practices 2025 2026 Google ↗
- AI Search retrieval quality guide - Azure Databricks · learn.microsoft.com
- Evaluate AI Search retrieval quality - Azure Databricks · learn.microsoft.com
- Vector Drift in Azure AI Search: Three Hidden Reasons Your RAG Accuracy Degrades After Deployment · techcommunity.microsoft.com
- Drift-Adapter: A Practical Approach to Near Zero-Downtime Embedding Model Upgrades in Vector Databases · aclanthology.org
- Official website · qdrant.tech
- GitHub repository · github.com
- Model library · huggingface.co
- Documentation · sbert.net
- Documentation · docs.ragas.io