Local Chat RAG A fully local document Q&A system prioritizing privacy. Built with LangChain's RAG pipeline, it processes documents and provides sourced answers using local LLMs through Ollama – all while keeping your data secure. Explore this privacy-focused RAG system
@langchain
-
Structured Output Methods with Claude 3.7 and LangChain
By
–
Structured Output with Claude 3.7 A hands-on guide showcasing three proven methods for implementing structured output using Claude 3.7 through LangChain and AWS Bedrock, perfect for building production-ready AI systems. Dive into the guide here: https://
baz.co/resources/how-
to-achieve-structured-output-in-claude-3-7-three-practical-approaches
… -
Nimble Retriever Integration for LangChain LLM Applications
By
–
Nimble Retriever Integration Introducing a powerful web data retriever that brings precise and accurate data fetching to LangChain-powered LLM applications, seamlessly integrating into the retriever ecosystem. Learn more here https://
python.langchain.com/docs/integrati
ons/retrievers/nimble/
… -
Building a Private RAG Chat App with LangChain and Reflex
By
–
Private RAG Chat App Build a local RAG chat application that prioritizes data privacy, using LangChain's orchestration with Reflex framework to create secure, context-aware conversations. Learn to build your private chat app https://
apideck.com/blog/building-
a-local-rag-chat-app-with-reflex-langchain-huggingface-and-ollama
… -
Powerful RAG Implementation for Company Annual Reports Analysis
By
–
Winning RAG Solution A powerful RAG implementation that analyzes company annual reports through LangChain's framework. Features PDF parsing, multi-LLM support, and advanced retrieval for precise question-answering. Check out the solution: https://
github.com/IlyaRice/RAG-C
hallenge-2
… -
Social Media Agent UI Tutorial with LangChain and Notion
By
–
Social Media Agent UI Tutorial Transform LangChain's Social Media Agent into a user-friendly web app with multiple content submission methods and Notion integration. Built with ExpressJS and AgentInbox UI for seamless progress monitoring. Check out the step-by-step guide
-
Agent Q: Multi-Agent System for Quantum Chemistry with LangGraph
By
–
The Q Agent A revolutionary LangGraph-powered multi-agent system that makes quantum chemistry accessible through natural language, achieving 87% success rate in automating complex workflows. Dive into the paper to see the future of quantum chemistry automation
-
ScienceBridge AI: LangGraph Agent for Automated Scientific Research
By
–
ScienceBridge AI This LangGraph-powered AI agent automates scientific research workflows from data analysis to hypothesis validation, generating publication-ready visualizations to accelerate research discoveries. Check it out on GitHub! https://
github.com/RichardKaranuM
buti/ScienceBridge
… Created -
LangSmith Supports Multi-Modal Agents with Images PDFs Audio
By
–
Observe and Evaluate Multi-Modal Agents with LangSmith LangSmith now supports images, PDFs, and audio files across the playground, annotation queues, and datasets — making it easier than ever to build and evaluate multimodal applications. Watch how we evaluate a
-
Unofficial Pre-Party for Interrupt Conference Day 1 Attendees
By
–
Heading to Interrupt but missed out on Day 1 tickets? Join the unofficial pre-party hosted off-site by our friends at @FactoryAI , @togethercompute
, and @cartesia
! Open to the general public — you don’t need an Interrupt ticket to attend.