
Hybrid Search
Hybrid search is a technique that combines keyword-based full-text search (such as BM25) with vector search (semantic search), leveraging the strengths of both to improve retrieval accuracy.
Clear explanations of AI, DX, and technology terminology

Hybrid search is a technique that combines keyword-based full-text search (such as BM25) with vector search (semantic search), leveraging the strengths of both to improve retrieval accuracy.

"In the Loop" is a collaborative mode in which humans review and correct AI agent outputs one by one. While quality control is reliable, it tends to create a bottleneck where human review cannot keep pace with the agent's generation speed.

Inference-time scaling is a technique that dynamically increases or decreases the amount of computation used during a model's inference phase, allocating more "thinking steps" to difficult problems while providing immediate answers to simpler ones.

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