Reflection Agents Reflection is a prompting strategy used to improve the quality and success rate of agents and similar AI systems. This post outlines how to build 3 reflection techniques using LangGraph, including implementations of Reflexion and Language Agent Tree Search.
JSON agents with Ollama & LangChain Learn to implement an open-source Mixtral agent that interacts with a graph database Neo4j through a semantic layer Editor's note: This post is
Supercharging If-Statements With Prompt Classification Using Ollama and LangChain Editor's Note: Andrew Nguonly has been building one of the more impressive projects we've seen recently - an LLM co-pilot for
Winning in AI means mastering the new stack Authors: Edo Liberty, Guillermo Rauch, Ori Goshen, Robert Nishihara, Harrison Chase AI in 2030 AI is rapidly changing. Too rapidly for most. Ten years ago
Announcing the General Availability of LangSmith and Our Series A Led By Sequoia Capital Today, we’re thrilled to announce the general availability of LangSmith — our solution for LLM application development, monitoring, and testing. We initially launched LangSmith in
Rakuten Group builds with LangChain and LangSmith to deliver premium products for its business clients and employees Rakuten Group is well known for operating one of the largest online shopping malls in Japan. The company has 70+ businesses in fields such as
How Dataherald Makes Natural Language to SQL Easy Editor's Note: we're excited to feature this guest post from the Dataherald team. Text-to-SQL is a HUGE use case, and Dataherald
Plan-and-Execute Agents Plan and execute agents promise faster, cheaper, and more performant task execution over previous agent designs. Learn how to build 3 types of planning agents in LangGraph in this post.
BCG X Releases AgentKit, a Full-Stack Starter Kit for Building Constrained Agents Editor's Note: We're very excited to share this work by BCG. We've worked closely with the BCG over the
LangChain Partners with CommandBar on their Copilot User Assistant CommandBar is a user assistance platform that helps software companies make their products easy to use by capturing and predicting user intent, and then delivering
Human-in-the-loop with OpenGPTs and LangGraph TLDR; Today we’re launching two “human in the loop” features in OpenGPTs, Interrupt and Authorize, both powered by LangGraph. We've recently launched
Self-Reflective RAG with LangGraph Key Links * Cookbooks for Self-RAG and CRAG * Video Motivation Because most LLMs are only periodically trained on a large corpus of public data, they lack
