“langchain”
Choosing an Agent Framework: A Decision Matrix for Enterprise Teams
A weighted decision matrix for picking an agent framework, built from LangChain's 2026 seven-framework comparison and enterprise constraints.
Migrating a LangChain Agent Chain to LangGraph: A Refactoring Guide
From AgentExecutor to StateGraph — a step-by-step mapping of the old LangChain agent pattern onto LangGraph concepts, with the v1 migration rules.
Building a Harness with Jev: Fast, Structured Decisions for Your Agents
Jev is TypeSafe AI's new System One model: a frontier-intelligence function call that turns unstructured state into typed probabilistic decisions in milliseconds — without hallucinating. Learn how it works and how to wire it into a LangChain harness for model routing and tool risk gating.
Tool-Augmented Retrieval: Chaining Search Tools with Agent Reasoning
Build retrieval systems where agents chain multiple search tools—vector, keyword, database, and API—using reasoning to decide what to search and when to stop.
An Introduction to Deep Agents: Building Multi-Step Autonomous LLM Systems
Discover how Deep Agents simplifies building LLM applications with built-in planning, sandboxed file systems, subagent spawning, and persistent memory.
A Deep Dive into LangChain Expression Language (LCEL)
Learn how to construct complex AI pipelines effortlessly using the declarative power of LangChain Expression Language (LCEL).
A Developer's Showdown: LangChain vs. LlamaIndex vs. Autogen
A comprehensive comparison of the top AI agent and application frameworks.