Real ChatGPT answer · index seedpwgbZ94xoqQcompleteB2B software · AI and automation toolsinformational
What is the best architectural pattern for combining hybrid search with re-ranking models in an enterprise AI knowledge base?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best architectural pattern for combining hybrid search with re-ranking models in an enterprise AI knowledge base?
3 real searches · 1 real-search pass
enterprise RAG hybrid search BM25 vector reciprocal rank fusion reranking cross encoder architecture best practicesGoogle ↗
OBSERVEDInstruction
Azure AI Search hybrid search semantic reranking reciprocal rank fusion documentationGoogle ↗
OBSERVEDOther / navigational
Elastic hybrid search reciprocal rank fusion reranking cross encoder documentationGoogle ↗
OBSERVEDInstruction
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 (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
enterprise RAG hybrid search BM25 vector reciprocal rank fusion reranking cross encoder architecture best practices Google ↗
Azure AI Search hybrid search semantic reranking reciprocal rank fusion documentation Google ↗
Elastic hybrid search reciprocal rank fusion reranking cross encoder documentation Google ↗
- architecture-center/docs/ai-ml/guide/rag/rag-information-retrieval.md at main · MicrosoftDocs/architecture-center · github.com
- Develop a RAG Solution on Azure - Information-Retrieval Phase - Azure Architecture Center · learn.microsoft.com
- Create a Hybrid Query - Azure AI Search · learn.microsoft.com
- Hybrid Search Scoring (RRF) - Azure AI Search · learn.microsoft.com
- Documentation · elastic.co
- Documentation · docs.pinecone.io
- Documentation · docs.cohere.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
enterprise RAG hybrid search BM25 vector reciprocal rank fusion reranking cross encoder architecture best practices OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Azure AI Search hybrid search semantic reranking reciprocal rank fusion documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Elastic hybrid search reciprocal rank fusion reranking cross encoder documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |