Langchain: RAG QA Tool with Gemini Pro, Langchain, and Chroma

Explore how to build a Retrieval-Augmented Generation (RAG) component for question-answering using Langchain and Gemini 1.5 Pro in this 23-minute tutorial video. Learn to create a powerful QA tool by integrating a Chroma vectorstore populated with custom data, specifically legal documents in PDF format. Follow along with the step-by-step demonstration to implement this machine learning and data science solution, enhancing your ability to process and query complex information. Access the accompanying Jupyter notebook on GitHub for hands-on practice and further experimentation with the Vertex AI Chroma implementation.