A technical guide on building a custom knowledge graph system for health/fitness AI using MongoDB, S3, and LangChain.
An introduction to using LangGraph for building complex, multi-LLM workflow architectures and automations, with a focus on local execution.
A technical cheatsheet for using Google's Gemini AI models with the LangChain framework, covering setup, chat models, prompt templates, and image inputs.
Explores AI agent frameworks, their benefits, limitations, and introduces the Model Context Protocol (MCP) for more modular AI systems.
A tutorial on building a command-line chatbot using Node.js, LangChain, and OpenAI's API for interactive conversations.
A tutorial on using LangChain in JavaScript to stream structured output from OpenAI to a Next.js chatbot frontend using Server-Sent Events.
A guide to using browser-use, a scriptable AI agent built with Playwright and LLMs to automate repetitive browser tasks.
A guide to building AI applications using the LangChain framework, covering core concepts, installation, and practical examples.
Tutorial on using LangChain and Zod in a Next.js chatbot to structure and validate OpenAI API responses for the frontend.
A tutorial on implementing real-time streaming responses in a LangChain chatbot using JavaScript, React.js, and Next.js with the OpenAI API.
A tutorial on building a chatbot with LangChain, OpenAI, and Next.js/React.js, including code examples for the frontend and backend.
A hands-on guide to evaluating LLMs and RAG systems using Langchain and Hugging Face, covering criteria-based and pairwise evaluation methods.
A guide on using Azure Database for PostgreSQL with the vector extension as a vector store for LLM applications, including setup and integration with LangChain.
A technical guide on using an LLM (Platypus2) with LangChain and pgvector to analyze YouTube's Procella database paper.
A guide to building a custom chatbot in Azure OpenAI using your own data, covering setup, costs, and integration with Azure Cognitive Search.
A guide on configuring LangChain to connect to and use Azure OpenAI services in Python, covering setup, authentication, and examples.
A developer shares experiments building LLM-powered tools for research, reflection, and planning, including URL summarizers, SQL agents, and advisory boards.
Explains a chunk-based embedding method using LangChain and Pinecone to improve blog post search accuracy and efficiency.
