Markdown source

Agentic Search

Overview

Agentic search is retrieval where an AI system actively plans, queries, follows leads, compares sources, and decides when it has enough evidence. It goes beyond one-shot RAG by treating search as an iterative reasoning and tool-use process.

Conference Context

It combines web search, enterprise search, information retrieval, RAG, semantic search, BM25, vector databases, knowledge graphs, and research-agent workflows. Agents add query reformulation, source triage, multi-hop exploration, and evidence synthesis.

Significance

Many tasks fail because the agent either retrieves the wrong context or stops too early. Agentic search improves coverage, reduces hallucination, and helps systems expose the evidence behind an answer.

Applied Use

Define the question, retrieve broadly, rerank by task relevance, inspect primary sources, track claims and citations, and loop when evidence conflicts or gaps remain. Use hybrid retrieval and structured indexes where pure vector search misses exact terms or relationships.

It is useful in research, support knowledge bases, compliance review, code search, enterprise assistants, competitive intelligence, and document-heavy operations.

Use agentic search when answers require multiple sources, fresh evidence, exact facts, or cross-document reasoning. Simple lookup or direct database queries are better for narrow deterministic questions.

Define the question, retrieve broadly, rerank by task relevance, inspect primary sources, track claims and citations, and loop when evidence conflicts or gaps remain. Use hybrid retrieval and structured indexes where pure vector search misses exact terms or relationships.

It is useful in research, support knowledge bases, compliance review, code search, enterprise assistants, competitive intelligence, and document-heavy operations.

Use agentic search when answers require multiple sources, fresh evidence, exact facts, or cross-document reasoning. Simple lookup or direct database queries are better for narrow deterministic questions.

Define the question, retrieve broadly, rerank by task relevance, inspect primary sources, track claims and citations, and loop when evidence conflicts or gaps remain. Use hybrid retrieval and structured indexes where pure vector search misses exact terms or relationships.

It is useful in research, support knowledge bases, compliance review, code search, enterprise assistants, competitive intelligence, and document-heavy operations.

Use agentic search when answers require multiple sources, fresh evidence, exact facts, or cross-document reasoning. Simple lookup or direct database queries are better for narrow deterministic questions.

Define the question, retrieve broadly, rerank by task relevance, inspect primary sources, track claims and citations, and loop when evidence conflicts or gaps remain. Use hybrid retrieval and structured indexes where pure vector search misses exact terms or relationships.

It is useful in research, support knowledge bases, compliance review, code search, enterprise assistants, competitive intelligence, and document-heavy operations.

Use agentic search when answers require multiple sources, fresh evidence, exact facts, or cross-document reasoning. Simple lookup or direct database queries are better for narrow deterministic questions.

Define the question, retrieve broadly, rerank by task relevance, inspect primary sources, track claims and citations, and loop when evidence conflicts or gaps remain. Use hybrid retrieval and structured indexes where pure vector search misses exact terms or relationships.

It is useful in research, support knowledge bases, compliance review, code search, enterprise assistants, competitive intelligence, and document-heavy operations.

Use agentic search when answers require multiple sources, fresh evidence, exact facts, or cross-document reasoning. Simple lookup or direct database queries are better for narrow deterministic questions.

Define the question, retrieve broadly, rerank by task relevance, inspect primary sources, track claims and citations, and loop when evidence conflicts or gaps remain. Use hybrid retrieval and structured indexes where pure vector search misses exact terms or relationships.

It is useful in research, support knowledge bases, compliance review, code search, enterprise assistants, competitive intelligence, and document-heavy operations.

Use agentic search when answers require multiple sources, fresh evidence, exact facts, or cross-document reasoning. Simple lookup or direct database queries are better for narrow deterministic questions.

Connections

Evidence Graph

Transcript-backed resources

Transcript-backed resources

Transcript-backed resources

Transcript-backed resources

Transcript-backed resources

Quote signals

Transcript-backed resources

Quote signals

This evidence graph consolidates scheduled talks, linked videos, transcripts, and slide-derived material connected to this topic.

Linked Sessions

Media Signals

Source Coverage

This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed.

| Evidence type | Count | Review note |
| --- | ---: | --- |
| other | 50 | Related pages outside the main evidence categories. |
| resources | 21 | Video/resource pages; check source status before treating as primary event evidence. |
| slides | 16 | OCR or reconstructed slide evidence; mark claims as OCR-derived unless image-reviewed. |
| talks | 24 | Official schedule pages; use for titles, speakers, tracks, and stated talk framing. |
| tools | 4 | Derived inventory pages; use as entity context, not independent proof. |
| transcripts | 1 | Transcript markdown; check session matching and caption quality. |

Talks

Resources

Slides

Transcripts

Tools

This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed.

Talks

Resources

Slides

Transcripts

Tools

This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed.

| resources | 22 | Video/resource pages; check source status before treating as primary event evidence. |
| tools | 5 | Derived inventory pages; use as entity context, not independent proof. |

Talks

Resources

Slides

Transcripts

Tools

This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed.

Talks

Resources

Slides

Transcripts

Tools

This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed.

Talks

Resources

Slides

Transcripts

Tools

This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed.

Talks

Resources

Slides

Transcripts

Tools

This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed.

| resources | 23 | Video/resource pages; check source status before treating as primary event evidence. |

Talks

Resources

Slides

Transcripts

Tools

This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed.

| resources | 24 | Video/resource pages; check source status before treating as primary event evidence. |

Talks

Resources

Slides

Transcripts

Tools

This table summarizes the local evidence already linked from this topic. It is a navigation aid, not a claim that every linked page has been fully reviewed.

Talks

Resources

Slides

Transcripts

Tools

Active Use Cases

Slide-Derived Supporting Decks

These decks are slide/OCR support only; keep the article synopsis, origin, use cases, and schedule sections as the primary topic narrative.

Slide-Derived Scheduled Session Signals