We are struggling with retrieval relevance so what are the proven techniques for optimizing vector search accuracy?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We are struggling with retrieval relevance so what are the proven techniques for optimizing vector search accuracy?
3 real searches · 1 real-search pass
vector search retrieval relevance best practices hybrid search reciprocal rank fusion reranking chunking evaluation official documentationGoogle ↗
OBSERVED
BEIR retrieval benchmark nDCG recall MRR retrieval evaluation paper dense retrievalGoogle ↗
OBSERVED
Pinecone chunking strategies reranking hybrid search documentationGoogle ↗
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 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
vector search retrieval relevance best practices hybrid search reciprocal rank fusion reranking chunking evaluation official documentation Google ↗
BEIR retrieval benchmark nDCG recall MRR retrieval evaluation paper dense retrieval Google ↗
Pinecone chunking strategies reranking hybrid search documentation Google ↗
- How to Perform Hybrid Search - MongoDB Vector Search · mongodb.com
- Rerankers and Two-Stage Retrieval · pinecone.io
- architecture-center/docs/ai-ml/guide/rag/rag-information-retrieval.md at main · MicrosoftDocs/architecture-center · github.com
- Hybrid Search Overview - Azure AI Search · learn.microsoft.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
vector search retrieval relevance best practices hybrid search reciprocal rank fusion reranking chunking evaluation official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
BEIR retrieval benchmark nDCG recall MRR retrieval evaluation paper dense retrieval OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Pinecone chunking strategies reranking hybrid search documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |