Dark | Light
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

![LangChainAI Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::1589007443853340672.png) LangChain [@LangChainAI](/creator/twitter/LangChainAI) on x 205K followers
Created: 2025-07-01 15:00:00 UTC

How Exa built a production-ready deep research agent with LangGraph

@ExaAILabs, known for their fast, high-quality search API, just launched a deep research agent that delivers structured answers on the web -- no matter how complex the query.

Powered by LangGraph, they've built a multi-agent system with:
🔹 Snippet-first reasoning, which saves tokens by defaulting to search snippets before fetching full content
🔹 Structured JSON output to ensure reliable, schema-enforced responses
🔹 Production observability that uses LangSmith to track token usage and caching for optimal performance

Read about how they built their agent

![](https://pbs.twimg.com/media/GuvuZNhW8AAbRB9.jpg)

XXXXXX engagements

![Engagements Line Chart](https://lunarcrush.com/gi/w:600/p:tweet::1940062841454960831/c:line.svg)

[Post Link](https://x.com/LangChainAI/status/1940062841454960831)

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

LangChainAI Avatar LangChain @LangChainAI on x 205K followers Created: 2025-07-01 15:00:00 UTC

How Exa built a production-ready deep research agent with LangGraph

@ExaAILabs, known for their fast, high-quality search API, just launched a deep research agent that delivers structured answers on the web -- no matter how complex the query.

Powered by LangGraph, they've built a multi-agent system with: 🔹 Snippet-first reasoning, which saves tokens by defaulting to search snippets before fetching full content 🔹 Structured JSON output to ensure reliable, schema-enforced responses 🔹 Production observability that uses LangSmith to track token usage and caching for optimal performance

Read about how they built their agent

XXXXXX engagements

Engagements Line Chart

Post Link

post/tweet::1940062841454960831
/post/tweet::1940062841454960831