Learn how healthcare teams use LangGraph for durable state and clinician review gates, LangSmith for tracing and evaluation, and HIPAA-eligible AWS services to build agents that clinicians can trust.

Build a RAG chatbot with LangChain, Chroma and local models. Load documents, embed them, retrieve the best chunks and answer questions, with every step run.

When a LangChain agent returns nothing, the cause is in its LangSmith trace. One fAI command lets every coding agent you use read that trace itself.

LangChain, 10 Nov 2026. Sourced to github.com.

Learn how Stripe built Kai, a company-wide AI agent on LangChain, LangGraph, and Deep Agents, reaching 5,000 users in roughly 4 weeks.

LangChain used OpenWiki, its open-source wiki compiler, and an evidence graph to build a persistent memory layer that preserves knowledge for agents to reuse across tasks. Learn how.

LangChain vs LangGraph: Compare key features, differences, and use cases for AI agent development with Visualpath.

The daily adoption ranking of open-source AI tools.

A practical utility library that streamlines development with LangChain and LangGraph by providing reusable components and helper functions. Langchain Dev Utils reduces boilerplate code and accelerates the building of AI-powered applications with these popular frameworks.

Introduction: LangChain core release version 1.7.7 introduces critical stability and security updates targeting object loader nesting depth and automated dependency locking. As Large Language Model (LLM) agent architectures increasingly ingest complex, semi-structured metadata from external tools and model responses, unconstrained object serialization creates severe denial-of-service (DoS) and memory exhaustion vectors. This release enforces strict caps on data structure traversal during object loading while harmonizing security resolutions across modern Python runtime environments.

What Happened Ollama v0.40.9 adds Phonon speech generation on Apple Silicon, including streamed playback and an OpenAI-compatible speech endpoint. It also adds the d3 decision-model family in 2B, 4B, 9B…

An agent loop lets an LLM act, observe results, and decide what to do next. In this course, you’ll learn a framework for the loops around that cycle and how to build them: a verification loop that che...