Context Engineering "Context engineering" is a key part of agent building. We review a few popular patterns for context engineering + explain how to use them w/ LangGraph. Blog: https://
blog.langchain.com/context-engine
ering-for-agents/
… Video: https://
youtu.be/4GiqzUHD5AA
@langchain
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Context Engineering: Key Patterns for Agent Building with LangGraph
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LangGraph Assistants: Configure and Deploy Specialized Agent Versions
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Define your agent logic once, then configure and deploy specialized versions on the fly with LangGraph Assistants. In this video tutorial, you'll learn how to use LangGraph Assistants to: Turn static agents into flexible, runtime-configurable systems Build and manage
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Prosper Automates Call QA Workflows with Modular GenAI Solution
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@ProsperLoans is a financial services company that connects everyday people with the financial solutions they need, from personal loans, credit cards, and more.
— LangChain (@LangChain) 1 juillet 2025
To automate tedious workflows like call QA, Zak Golding (GenAI Software Engineer) and the Prosper team built a modular… pic.twitter.com/iEl7wOCp59@ProsperLoans is a financial services company that connects everyday people with the financial solutions they need, from personal loans, credit cards, and more. To automate tedious workflows like call QA, Zak Golding (GenAI Software Engineer) and the Prosper team built a modular
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Watch customer video stories from agent engineers
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Watch the video:
https://
youtu.be/9RFNOYtkwsc/?u
tm_medium=social&utm_source=twitter&utm_campaign=q2-2025_customer-videos_co
… More stories from agent engineers: -
LangSmith Custom Views for Evaluation Results
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📊 You can now create custom views to highlight important information when viewing evaluation results in LangSmith:
— LangChain (@LangChain) 1 juillet 2025
– Break out fields from inputs, outputs, and reference outputs into their own columns. Especially helpful if you have long inputs/outputs/ref outputs and want to… pic.twitter.com/A3x24lLjV4You can now create custom views to highlight important information when viewing evaluation results in LangSmith: – Break out fields from inputs, outputs, and reference outputs into their own columns. Especially helpful if you have long inputs/outputs/ref outputs and want to
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Multi-modal Researcher with Gemini 2.5 and LangGraph
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Multi-modal researcher with Gemini 2.5 Generate reports + custom podcasts on any topic w/ LangGraph + Gemini 2.5: • YouTube video processing
• Real-time Google Search integration
• Multi-speaker text-to-speech Repository:
https://github.com/langchain-ai/multi-modal-researcher Video:
https://youtu.be/6Ww5uyS0tXw -
Exa Launches Production-Ready Deep Research Agent with LangGraph
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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 -
MongoDB Text-to-MQL with LangChain: Natural Language Queries
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@MongoDB supports Text-to-MQL with LangChain, allowing you to convert natural language queries directly into MongoDB queries. This makes it easier to build apps and agents that interact with your data seamlessly. Read the blog: https://
mongodb.com/blog/post/prod
uct-release-announcements/introducing-text-to-mql-langchain-query-mongodb-using-natural-language?utm_campaign=langchain_text_to_mql&utm_source=mongodb&utm_medium=blog&utm_term=langchain
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Building an Agent with Authentication and Payment Processing
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New Video: How to Build an Agent with Auth and Payments AI Services often track LLM requests via credits. We just released a video showing how to build a LangGraph.js app that does exactly this! It has:
– Stripe for payments
– Supabase for auth & credits
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Watch Agent Engineer Customer Video Stories
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Watch the video: https://
youtu.be/9ABwtK2gIZU/?u
tm_medium=social&utm_source=twitter&utm_campaign=q2-2025_customer-videos_co
… See more agent engineer stories: