Master LLMOps with Agentic RAG Pipeline: Free Tools & Models скачать в хорошем качестве

Master LLMOps with Agentic RAG Pipeline: Free Tools & Models

Unlock the power of LLMOps with our Agentic Retrieval-Augmented Generation (RAG) pipeline. This project offers a deep dive into constructing an agentic RAG pipeline using free tools and open-source models, ensuring full observability at every step. Learn how the LLM agent decides whether to retrieve documents or answer from memory, what query to send to the vector store, and when it has enough context to answer confidently. Our architecture leverages Groq's LLaMA 3.3 70B for ultra-fast inference, ChromaDB for efficient vector storage, and LangSmith for comprehensive observability. Whether you're a developer or a data scientist, this guide will equip you with the skills to implement a robust and efficient RAG pipeline. Start your journey today and transform your LLMOps strategy. https://github.com/JeffreyRed/LLMOps