Hybrid Search combines lexical search with vector retrieval so RAG systems can match both exact terms and semantic meaning. GROUNDING tracks ranking, recall, query rewriting, and retrieval robustness.
Topic: RAG Related: Embeddings Reranking RAG
Recent Updates
- 2026-06-05: Why we chose recursive SQL over GraphQL for our knowledge graph (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · habr.com — Google Gemini
- 2026-06-08: HKVM-RAG: Key-Value-Separated Hypergraph Evidence Organization for Multi-Hop RAG (cs.CL updates on arXiv.org) · arxiv.org — ColBERTv2
- 2026-06-08: Rebuilding RAG Search for a Helpdesk Assistant: Insights and Optimization (Искусственный интеллект – AI, ANN и иные формы искусственного разума) · habr.com — Bitrix24 Alexey
FAQ
What is Hybrid Search?
Hybrid Search combines lexical search with vector retrieval so RAG systems can match both exact terms and semantic meaning. GROUNDING tracks ranking, recall, query rewriting, and retrieval robustness.
Which topic does Hybrid Search belong to?
On the GROUNDING radar, Hybrid Search is grouped under the RAG topic.
Which concepts are related to Hybrid Search?
Related concepts tracked by the radar include Embeddings, Reranking, RAG.