How Mendable leverages LangSmith to debug Tools & Actions Editor's Note: this blog is from Nicolas Camara, CTO @ Mendable. Mendable.ai is a platform helping enterprise teams answer technical questions with AI.
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
Ally Financial Collaborates with LangChain to Deliver Critical Coding Module to Mask Personal Identifying Information in a Compliant and Safe Manner Ally Financial, the largest digital-only bank in the US and a leading auto lender, has recently collaborated with LangChain to release the first initial coding
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 State of AI 2023 In 2023 we saw an explosion of interest in Generative AI upon the heels of ChatGPT. All companies - from startups to enterprises - were
Benchmarking Agent Tool Use Agents may be the “killer” LLM app, but building and evaluating agents is hard. Function calling is a key skill for effective tool use, but
How Rubric Labs and Graphite leveraged LLMs to create personalized videos at scale How Rubric Labs and Graphite generated personalized, unique GitHub Wrapped 2023 videos for each user.
Towards LangChain 0.1: LangChain-Core and LangChain-Community The goal of LangChain has always been to make it as easy as possible to develop context-aware reasoning applications with LLMs. LangChain started as a
Transforming Mortgage Ops with LangChain & LangSmith Editor's Note: This post was written by Sasha Aptlin at Aptford through LangChain's Partner Program. Meet Maya, a loan officer at
Deconstructing RAG Context In a recent overview on the state of large language models (LLMs), Karpathy described LLMs as the kernel process of a new kind of