LangChain Blog (Page 24)

Conversational Retrieval Agents

TL;DR: There have been several emerging trends in LLM applications over the past few months: RAG, chat interfaces, agents. Our newest functionality - conversational

4 min read

Unifying AI endpoints with Genoss, powered by LangChain

Editor’s Note: This blog post was written by Matt Carey, one of the builders of Genoss. We're sharing it on our blog

4 min read

LangChain Expression Language

TL;DR: * We’re excited to announce a new syntax to create chains with composition. This comes along with a new interface that supports batch,

5 min read

Goodbye CVEs, Hello `langchain_experimental`

One of the things that LangChain seeks to enable is connecting language models to external sources of data and computation. This allows language models to

2 min read

Zep x LangChain: Diagnosing and Fixing Slow Chatbots

Editor’s Note: This blog post was written in collaboration with Zep, an early LangSmith BETA user. We've fielded a lot of questions

6 min read

Automating Web Research

Key Links * Web Researcher Repo * New LangChain Retriever and Documentation * Hosted Streamlit App Motivation Web research is one of the killer LLM applications: Greg Kamradt

4 min read

RealChar x LangSmith: Using Open Source tools to create an AI companion

Editor’s Note: This blog post was written in collaboration with RealChar, an early LangSmith BETA user. They moved fast and created something really, really

3 min read

Lepton x LangChain: Earning Sage, How to Transform AI into a Savvy CFO

Editor’s Note: This blog post was written in collaboration LeptonAI Team, an early LangSmith BETA user. Lots of folks are talking about how best

5 min read

Announcing LangSmith, a unified platform for debugging, testing, evaluating, and monitoring your LLM applications

LangChain exists to make it as easy as possible to develop LLM-powered applications. We started with an open-source Python package when the main blocker for

8 min read

Code Interpreter API

Editor's Note: This is another installation of our guest blog posts highlighting interesting and novel use cases. This blog is written by Shroominic

5 min read

Analyzing User Interactions with LLMs to Improve our Documentation

Introduction We're strongly committed to consistently enhancing our documentation and its navigability. Using Mendable, a AI-enabled chat application, users can search our documentation

3 min read

LangChain x Context: Building Better Chat Products With User Analytics

Today we’re announcing a Langchain integration for Context. This integration allows builders of Langchain chat products to receive user analytics with a one line

2 min read