LangChain is a framework for developing applications powered by language models. Here are a few posts about building RAG applications and agents using LangChain on Google Cloud.
At TEQNation 2024, I demonstrated how to build a complex LLM app using RAG and ReACT, grounded in over 20 million Hacker News comments, and explained how I did data scraping, indexing, and implementation with LangChain and Cloud Run.
Learn to build a Retrieval-Augmented Generation (RAG) app with LangChain and Gemini on Cloud Run, using a vector database to answer questions from Cloud Run release notes.
At Cloud Next 2024, I joined LangChain's founder and others to show how to build generative AI applications on Google Cloud using LangChain. I've included a demo of L'Oreal's internal GPT and a hands-on guide to building a LangChain app from scratch.
A technical overview of automated base image updates on Cloud Run.
Use these gcloud commands to configure a custom domain for a Cloud Run service with a managed SSL certificate and a HTTP-to-HTTPS redirect.
Learn how to set up a hook in Gemini CLI that uses Ruff to format and sort imports in your Python code every time it modifies a file.