Build an LLM App in 18 Lines Learn to create a text generation app with LangChain and Streamlit. This tutorial demonstrates how to build an AI-powered application with OpenAI integration in just 18 lines of Python, featuring secure API handling. Tutorial link in reply
@langchain
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Semantic Chunker: Enhancing RAG Systems with Intelligent Text Chunking
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Semantic Chunker A powerful Python package that enhances RAG systems through semantic-based text chunking and LangChain integration. Features intelligent clustering, visualizations, and token-aware merging for optimal context preservation. Check it out on GitHub
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LLManager: AI and Human Oversight in LangChain Workflows
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LLManager A powerful system that blends AI and human oversight in LangChain workflows, ensuring supervised automation for critical business decisions. Learn more about safe AI implementation: https://
medium.com/ai-artistry/ll
manager-the-evolution-of-ai-approval-workflows-in-langchain-2c1b99dbcc55
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Jupyter Tool for LangChain AI Agents with Token Management
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Jupyter Tool for AI Agents A Python package enabling LangChain-based AI agents to control Jupyter notebooks with token management and cell-level operations for automated notebook interactions. GitHub link in reply
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Building Production-Ready Secure AI Assistants with LangGraph.js
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Secure AI Assistant Learn to build production-ready AI assistants that securely interact with Gmail using LangGraph.js and Auth0. Features secure tool-calling, real-time streaming, and complete authentication integration. Explore the full tutorial in reply
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InboxHero: Gmail Assistant with LangChain and ChatGroq
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InboxHero A Gmail assistant powered by LangChain and ChatGroq that streamlines inbox management through smart prioritization, response generation, and attachment processing with chat-based controls. Enhance your email workflow – view on GitHub https://
github.com/zamalali/Inbox
Hero
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Azure DeepSeek R1 Integration Tutorial with LangChain Package
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Azure + DeepSeek Tutorial Learn to implement the DeepSeek R1 reasoning model with our new langchain-azure package. Simplified authentication and integration lets you build advanced AI applications faster. Watch the tutorial: https://
youtube.com/watch?v=aBkpzU
Bg6qs
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Creating Self-Healing Code Agents with Reflection Steps
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How to Create a Self-Healing Code Agent Code generation is one of the most common use cases we see with LLMs, but how do you improve the accuracy and performance of the code generated by your code agent? In this video, we demonstrate how you can create a reflection step in
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Coinbase sponsors Interrupt 2025 with AgentKit and x402 payment tools
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Pumped to have @CoinbaseDev sponsor at Interrupt 2025! . They've built the tools to enable agentic commerce with AgentKit and x402— the next-gen payment rails for context retrieval and API calls. Come hang IRL in SF on May 14! http://
interrupt.langchain.com #LangChain -
LinkedIn’s SQL Bot: Practical Text-to-SQL for Data Analytics
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Read more about LinkedIn’s SQL Bot https://
linkedin.com/blog/engineeri
ng/ai/practical-text-to-sql-for-data-analytics
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