Building AI apps using LangChain A new series from our friends at @Redisinc on building AI applications using LangChain and Redis Covers RAG and semantic caching https://
youtube.com/playlist?list=
PL83Wfqi-zYZH8Boxt51keR4vZUDHpAzoO
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@langchain
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Building AI Apps with LangChain: RAG and Semantic Caching
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Agent Chat UI: Open Source Web App for LangGraph Interaction
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Introducing Agent Chat UI An OSS web app for interacting with any LangGraph app (PY & JS/TS) via a chat interface Agent Chat can render:
– Human/AI Messages
– Tool Calls/Results
– Human in the Loop
– Generative UI (tomorrow ) Watch the video, and try it out today -
LangChain Agent Chat UI: Create Agent-Powered Chat Applications
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: https://
youtube.com/watch?v=lInrwV
nZ83o
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GitHub Repo: https://
github.com/langchain-ai/a
gent-chat-ui
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`npx create-agent-chat-app`: https://
npmjs.com/package/create
-agent-chat-app
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LangGraph-Reflection: Agent Architecture with Critique Subagents
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LangGraph-Reflection This prebuilt graph is an agent that uses a reflection-style architecture to check and improve an initial agent's output. This reflection agent uses two subagents:
– A "main" agent, which is the agent attempting to solve the users task
– A "critique" -
C.H. Robinson Automates 5500+ Daily Orders with LangGraph
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How C.H. Robinson saves 600+ hours/day automating orders with LangGraph and LangSmith @CHRobinson handles 37+ million shipments a year and is using AI to move logistics faster. With LangGraph and LangSmith, they automated 5,500+ email order requests a day. Learn about how they:
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Evaluating and Scaling AI Agents with LangChain and Writer
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Fireside Chat in SF with Harrison Chase (Co-Founder & CEO at LangChain) and Waseem Alshikh (Co-Founder & CTO at Writer) on Evaluating and Scaling Agents Join us for an exciting evening meetup in San Francisco hosted at Susa Ventures! Waseem and Harrison will take you
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AI Agents Reshape Work: Replit, Klarna, GitLab Lead
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On the latest episode of This Week in Startups, @hwchase breaks down how AI agents are reshaping the future of work — from automating entry-level tasks to the future of human-in-the-loop systems. You'll also learn how companies like Replit, Klarna, and GitLab are building AI
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Build Autonomous Deep Research Agent with LangGraph GPT-4
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Build a Deep Research Agent An autonomous research agent built with LangGraph that combines GPT-4 and Tavily AI to perform parallel research and generate structured reports, all through sophisticated state management. Check out the implementation: https://
analyticsvidhya.com/blog/2025/02/b
uild-your-own-deep-research-agent/
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Deno and LangChain.js: Building AI Apps with Local LLMs
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Deno Meets Local LLMs Build powerful AI applications with Deno and LangChain.js in this hands-on guide. Featuring local LLM integration, structured outputs, and visual workflows using RunnableSequence. Check out the guide on the Deno blog https://
deno.com/blog/the-dino-
llama-and-whale
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Hybrid RAG with EnsembleRetriever for Superior Search
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Hybrid RAG with EnsembleRetriever EnsembleRetriever enhances RAG accuracy by combining semantic search and BM25 ranking in a powerful hybrid approach, delivering superior search performance. Watch now: https://
youtube.com/watch?v=UVQxMk
fQQbw
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