Rag Llm

Packt Publishing

Unlocking Data with Generative AI and RAG: Enhance generative AI systems by integrating internal data with large language models using RAG

Independently published

Building Intelligent Systems with RAG 2.0: Develop Next-Gen LLM Applications with LangChain, OpenAI, Pinecone, FAISS, Vector Databases, and LLMOps Tools

Independently published

Agentic AI Systems with LangChain + MCP + RAG + Ollama: Build Real-World Intelligent Agents with Modular Tools, Local LLMs, and Retrieval-Augmented Reasoning

Independently published

Building LLM Workflows: Engineer Scalable AI Systems Using LangChain, LangGraph, RAG, and OpenAI Tools.

Packt Publishing

RAG-Driven Generative AI: Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone

Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG (English Edition)

Independently published

Autonomous AI with MCP and RAG: Principles, Architecture, and Building Blocks . - A Developer’s Guide to Building LLM Agents with LangChain, OpenAI, and Vector Databases

Independently published

Ollama in Action: A Practical Guide to Building Smart AI Applications with Python and Local Open LLMs

Independently published

Graph RAG LLM: Hands-on Guide to graph-based approach to retrieval-augmented generation (RAG) For Developers

Independently published

Build LLM Applications with Python, Ollama, LangChain, and Gradio: A HANDS-ON GUIDE