LangChain Blog
Explore AI’s future through LangChain's lens, with expert articles and guided tutorials for enthusiasts and experts alike.
Today we're releasing the LangMem SDK, a library that helps your agents learn and improve through long-term memory.
It provides tooling to extract information from conversations, optimize agent behavior through prompt updates, and maintain long-term memory about behaviors, facts, and events.
You can use its core API with
Have you ever wanted to take advantage of LangGraph's core features like human-in-the-loop, persistence/memory, and streaming without having to explicitly define a graph?
We're excited to announce the release of the Functional API for LangGraph, available in Python and JavaScript.
The functional API allows you
By Krish Maniar and William Fu-Hinthorn
If you are interested in beta-testing more prompt optimization techniques, fill out interest form here.
When we write prompts, we attempt to communicate our intent for LLMs to apply on messy data, but it's hard to effectively communicate every nuance in one
Captide’s platform transforms how investment research teams work with financial data. By automating the extraction of insights and metrics from regulatory filings and investor relations documents, analysts can create customized datasets and analyses with extreme efficiency. At the heart of this innovation is their commitment to NLP workflows
In the thriving world of e-commerce, where customer satisfaction can make or break a brand, Minimal is leveraging the LangChain ecosystem to transform how support issues are handled. Minimal AI agents are delivering 80%+ efficiency gains over a broad variety of E-commerce stores while improving customer satisfaction. This year, Minimal
Most AI apps today follow a familiar chat pattern ("chat" UX). Though easy to implement, they create unnecessary interaction overhead, limit the ability of us humans to scale ourselves, and fail to use the full potential of LLMs.
Over the past six months, we've been exploring