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LangChain @langchain.bsky.social · Aug 5

👐Use gpt-oss with `deepagents`

Deep Agents require good tool calling capabilities... something that OpenAI's new open source model is pretty good at

Thanks to Ryan Eggleston for adding an example how to use gpt-oss (via ollama) to `deepagents`

Docs: github.com/hwchase17/de...

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LangChain @langchain.bsky.social · Jul 7

🤖📚 Context Engineering Guide

A comprehensive guide on evolving from prompt to context engineering. LangGraph's agent framework gives developers precise control over LLM execution and context management, optimizing AI performance.

Learn more at medium.com/ai-artistry/...

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LangChain @langchain.bsky.social · Jul 2

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:
blog.langchain.com/context-engine…

Video:
youtu.be/4GiqzUHD5AA

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LangChain @langchain.bsky.social · Jun 27

🔬 OpenAI just released new deep research models.

🤖 You can build agents with those models TODAY in langgraph!

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LangChain @langchain.bsky.social · Jun 27

🔬You can use openai's new deep research models with langchain-openai!

LangChain @langchain.bsky.social · Jun 24

🔍 Elasticsearch + LangGraph RAG

LangGraph's new Retrieval Agent Template integrates with Elasticsearch to build powerful RAG applications, featuring flexible LLM options, debugging tools, and query prediction.

Learn more on Elastic's blog 👉 www.elastic.co/search-labs/...

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LangChain @langchain.bsky.social · Jun 20

Prompt engineering UX improvement ✨

Turn your prompt into a reusable template by adding variables. Just highlight any part of the text and assign it a name to convert it into a variable!

LangChain @langchain.bsky.social · Jun 17

🤖LangGraph+ Tensorlake: Unlocking Document Understanding for Agents

When creating agents that interact with data, the connections you have to that data matter

Excited to announce an integration Tensorlake - a best in class document ingestion engine
www.tensorlake.ai/blog/announc...

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LangChain @langchain.bsky.social · Jun 17

🎙️🤖 Local AI Podcast Generator

Transform text into multilingual podcasts with this AI system! Built using LangChain + Ollama, it combines text summarization and speech generation for seamless podcast creation.

Check out the tutorial here youtu.be/h5D4rDNe8xk

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LangChain @langchain.bsky.social · Jun 10

🔍 GPT Researcher MCP

GPT Researcher now leverages LangChain's Model Context Protocol adapters for intelligent tool selection and research. Seamlessly combines MCP with web search capabilities for comprehensive data gathering.

Check out the integration docs! 📚 docs.gptr.dev/docs/gpt-res...

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LangChain @langchain.bsky.social · Jun 6

Excited to partner with Microsoft to make AI safer and more accessible for open source and enterprises!

Microsoft Developer @developer.microsoft.com · Jun 5

We're excited to announce our partnership with @langchain.bsky.social. Together, we're making AI safer and more accessible for open source and enterprises.

Learn more: https://msft.it/63329SWeoB

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LangChain @langchain.bsky.social · Jun 5

Explore more 👉 developers.googleblog.com/en/building-...

LangChain @langchain.bsky.social · Jun 5

🤖 Gemini x LangGraph

Google integrates Gemini with LangGraph, enabling developers to build AI agents through advanced processing and stateful workflows. The collaboration streamlines agent development with sophisticated reasoning and tool execution.

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LangChain @langchain.bsky.social · May 12

🔬 DeerFlow: Deep Research Framework

An open-source framework for conducting systematic deep research through coordinated LangGraph agents. Enables comprehensive literature analysis, data synthesis, and structured knowledge discovery.

GitHub Repository: github.com/bytedance/de...

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LangChain @langchain.bsky.social · May 10

🖥️ New version of Gemini 2.5 Pro!

Google just released a new version of Gemini 2.5 Pro with distinct strengths in coding, especially UIs, including new video-to-code features and improved agentic capabilities.

Try it out in LangChain!

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LangChain @langchain.bsky.social · May 5

🎥🤖 Multi-Modal RAG with Gemma 3

Build a powerful RAG system that processes mixed-content PDFs using Google's Gemma 3 and LangChain. This implementation combines PDF processing with multi-modal support, powered by Streamlit and Ollama.

Check out the tutorial 📚 www.youtube.com/watch?v=hBDN...

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LangChain @langchain.bsky.social · May 5

🔌📊 MCP Server Tutorial

Learn to build MCP servers that process stock market data using FastMcp and LangChain. This comprehensive guide demonstrates how to create ReAct agents with LangGraph for standardized data access.

📺 Check out the tutorial: www.youtube.com/watch?v=3K39...

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LangChain @langchain.bsky.social · Apr 25

🧑‍🏫 What if you could catch and fix that before generating an answer? In this video, we’ll show how to use in-the-loop evaluations to filter out noisy results and boost answer quality.

📹: youtu.be/huEiXXQrlsg

LangChain @langchain.bsky.social · Apr 25

✏️ How to Create a RAG Agent with Reflection

🔍 RAG is a powerful technique that supplies your agent with external information, and can improve agent performance. However, relying on RAG alone, agents can often pull in irrelevant documents to the user question.