What are the most common reasons vector search accuracy drops over time and how do I fix them in my personal knowledge base?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the most common reasons vector search accuracy drops over time and how do I fix them in my personal knowledge base?
1 real search · 1 real-search pass
vector search retrieval quality degradation over time chunking duplicates stale embeddings metadata hybrid search reranking evaluation RAG best practicesGoogle ↗
OBSERVED
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.
Classifying 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
vector search retrieval quality degradation over time chunking duplicates stale embeddings metadata hybrid search reranking evaluation RAG best practices Google ↗
- RAG Debugging Guide: Fix Retrieval Errors Fast · redis.io
- Evaluate AI Search retrieval quality - Azure Databricks · learn.microsoft.com
- Improve RAG chain quality - Azure Databricks · learn.microsoft.com
- architecture-center/docs/ai-ml/guide/rag/rag-information-retrieval.md at main · MicrosoftDocs/architecture-center · github.com
- AI Search retrieval quality guide - Azure Databricks · learn.microsoft.com