Building a cited Deep Research Agent with LangChain
BraceSproul · x · 2026-09-02
The author built a search-first Deep Research Agent using LangChain Deep Agents. It plans steps in real-time, uses Liner for search/grounding, and reasons over raw structured results itself to ensure citation accuracy.
Related event: Developers Build Search-First Deep Research Agents with LangChain(2 posts)→
More from coding & agent
- AI Agents Collaborate on Filmmaking, Invideo Supports Series Universe Creation — LudovicCreator · 2026-09-02
- Gemini agentic video understanding: 88% fewer tokens, 66% lower cost, ~7% higher accuracy — _philschmid · 2026-09-02
- Building a Game with Grok and Training a PPO Agent: Open Source Project — tetsuoai · 2026-09-02
- McpAppFrame: a copy-paste SEP-1865 host renderer for MCP Apps — mr_someonee · 2026-09-02
- Speculative PTC: Overlapping tool calls with code generation for faster agents — a1zhang · 2026-09-02
- Feed LLMs a table of pure noise and they'll confidently invent 'sensor data' — No-Plant-5234 · 2026-09-02