Real ChatGPT answer · index seed6WCP4ppApdAcompleteB2B software · AI and automation toolsinformational
Can Milvus handle hybrid search combining sparse keyword matching and dense vector embeddings out of the box, or do we need external indexing tools?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can Milvus handle hybrid search combining sparse keyword matching and dense vector embeddings out of the box, or do we need external indexing tools?
1 real search · 1 real-search pass
Milvus official documentation hybrid search sparse dense vectors BM25 full text search rerankingGoogle ↗
OBSERVEDOther / navigational
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
Milvus official documentation hybrid search sparse dense vectors BM25 full text search reranking Google ↗
- Full Text Search · milvus.io
- Hybrid Search Vector Database: BM25 + Vectors · milvus.io
- Multi-Vector Hybrid Search · milvus.io
- Full Text Search with Milvus Milvus v2.5.x documentation · milvus.io