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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@langchain
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Build Autonomous Deep Research Agent with LangGraph GPT-4
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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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Text-to-SQL AI: LangChain Agents and Database Query
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Text-to-SQL Guide Build an AI system that turns natural language into SQL queries using LangChain Agents and SQLDatabaseToolkit. This comprehensive tutorial takes you from setup to deployment with practical database examples. Watch now to transform your database queries!
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Converting Natural Language to SQL with LangChain Agents
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NL to SQL Guide Build an AI system that converts English to SQL using LangChain Agents & SQLDatabaseToolkit. Make database querying accessible to non-technical users with natural language processing. Learn how: https://
youtu.be/YNbxw_QZ9yI -
LangGraph Multi-Agent Home Assistant for Household Automation
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Multi-Agent Home Assistant A LangGraph-powered AI system that manages your household through natural language, coordinating specialized agents for scheduling, task management, and home automation. Check out the implementation https://
github.com/benjichat/lang
graph-home-assistant
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MCP Protocol: Temporary Trend or Permanent AI Standard?
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MCP – flash in the pan or future standard? Lots of buzz around MCP. @hwchase17 and @nfcampos debate whether it's here for the long run. Covers: – use cases for MCP
– Comparison to OpenAI Plugins
– Limitations of MCP Read the debate: https://
blog.langchain.dev/mcp-fad-or-fix
ture/
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Build Production-Ready WhatsApp AI Agent with LangGraph
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🤖💬 Build Ava: WhatsApp AI Agent
— LangChain (@LangChain) 8 mars 2025
Create a production-ready AI companion in WhatsApp using LangGraph. This comprehensive course teaches you to build an agent with multi-modal capabilities (text, voice, images) and long-term memory.
🚀 Build your AI companion:… pic.twitter.com/43E3pbFF8eBuild Ava: WhatsApp AI Agent Create a production-ready AI companion in WhatsApp using LangGraph. This comprehensive course teaches you to build an agent with multi-modal capabilities (text, voice, images) and long-term memory. Build your AI companion:
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Benjamin Liebald Brings AI Legal Expertise to Interrupt Conference
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We're thrilled to have @benjaminliebald
, VP of Engineering @harvey__ai at Interrupt, our upcoming AI agent conference! Ben has been at the forefront of building powerful AI-driven legal copilots and is bringing his expertise to Interrupt on May 14th. If you're excited -
LangGraph BigTool: Scalable Agent Tool Access Library
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LangGraph BigTool langgraph-bigtool is a Python library for creating LangGraph agents that can access large numbers of tools. – Scalable access to tools: Equip agents with hundreds or thousands of tools.
– Storage of tool metadata: Control storage of tool descriptions,