LangChain partners with Elastic to launch the Elastic AI Assistant Elastic, a leading search analytics company, serving over 20k customers worldwide, enables organizations to securely harness search-powered AI so anyone can find the answers they
[Week of 1/22/24] LangChain Release Notes 🗣️ Introducing LangGraph We just launched LangGraph, which helps customize your Agent Runtime. You can read more about it on the blog. LangGraph helps construct a
LangGraph: Multi-Agent Workflows Links * Python Examples * JS Examples * YouTube Last week we highlighted LangGraph - a new package (available in both Python and JS) to better enable creation
LangGraph TL;DR: LangGraph is module built on top of LangChain to better enable creation of cyclical graphs, often needed for agent runtimes. * Python Repo * Python
Build and deploy a RAG app with Pinecone Serverless Key Links * Repo: https://github.com/langchain-ai/pinecone-serverless * Video: https://youtu.be/EhlPDL4QrWY Context LLMs are unlocking a new era of generative AI applications, becoming
LangChain v0.1.0 Today we’re excited to announce the release of langchain 0.1.0, our first stable version. It is fully backwards compatible, comes in both
LangChain's First Birthday It’s LangChain’s first birthday! It’s been a really exciting year! We worked with thousands of developers building LLM applications and tooling. We
[Week of 10/16] LangChain Release Notes Announcing LangServe LangServe is the best way to deploy your LangChains. Blog Post. GitHub repo * Includes: Input/output schema, /docs endpoint, invoke/batch/stream endpoints,
You.com x LangChain Editor's Note: the following is a guest blog post from our friends at You.com. We've seen a lot of interesting
Test Run Comparisons One pattern I noticed is that great AI researchers are willing to manually inspect lots of data. And more than that, they build infrastructure that
Building LLM-Powered Web Apps with Client-Side Technology The initial version of this blog post was a talk for Google’s internal WebML Summit 2023, which you can check out here. It’s
Introducing LangServe, the best way to deploy your LangChains We think the LangChain Expression Language (LCEL) is the quickest way to prototype the brains of your LLM application. The next exciting step is to