Topic
Deep Research & Agentic Search
13 posts on deep research & agentic search — part of ai agents & automation on the n4n AI blog.
Why deep research agents hallucinate citations
Engineering analysis of why deep research agents invent sources: architectural mismatches between generation and retrieval, and how to enforce verifiable citations.
When to use a deep research agent instead of a chatbot
Practical guide for engineers on when use deep research agent vs chatbot: task depth, grounding, latency, and an actionable upgrade path with code.
Tavily vs Exa vs Bing Search API for agentic research
A pragmatic engineering comparison of Tavily, Exa, and Bing Search API for agentic research: capabilities, cost, latency, ergonomics, and limits.
Parallel search vs sequential search in research agents
A head-to-head comparison of parallel vs sequential search agents across cost, latency, and ergonomics, with a verdict for engineering use cases.
How to rank and filter search results for research agents
Practical steps to rank and filter search results for research agents using embeddings, LLM scoring, and deterministic rules—with runnable Python code.
How long should a deep research agent run before answering
Analyze how to bound deep research agent run time with adaptive stop conditions instead of fixed timeouts, balancing latency, cost, and answer quality.
Designing a multi-step research loop with Claude Opus 4.5
Build a multi-step research loop with Claude Opus 4.5 using the Anthropic SDK. Hands-on tutorial with planner, tool-use researcher, and synthesis.
What is a deep research AI agent, and how does it work?
An AI deep research agent autonomously plans, retrieves, and synthesizes to answer complex queries. This explainer covers how it works.
OpenAI Deep Research vs Gemini Deep Research vs Perplexity
Head-to-head comparison of OpenAI Deep Research, Gemini Deep Research, and Perplexity across capabilities, cost, latency, ergonomics, and limits for engineers.
How to build a deep research agent with search and citations
Practical guide to build deep research agent with web search and citations: query decomposition, parallel retrieval, and OpenAI-compatible LLMs.
Building a citation verification step into research agents
Build citation verification research agents that fetch and validate sources. Hands-on Python tutorial with OpenAI-compatible LLM calls and HTML parsing.
Agentic search vs traditional RAG: what's the difference
A practitioner's head-to-head comparison of agentic search vs RAG across capabilities, cost, latency, ergonomics, and limits, with a verdict for engineers.
7 techniques for deeper, more accurate agentic search
Practical techniques to build deeper accurate agentic search systems that retrieve, verify, and synthesize information with higher precision and recall.
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