Books — RAG

EN
Designing Large Language Model Applications

Designing Large Language Model Applications

A

Suhas Pai

AI and ML
EN
Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

Hands-On RAG for Production: Design, Develop, and Deploy Production-Ready RAG Applications

A

Ofer Mendelevitch, Forrest Sheng Bao

AI and ML
EN
LLMOps: Managing Large Language Models in Production

LLMOps: Managing Large Language Models in Production

A

Abi Aryan

AI and ML
EN
Build Python Web Apps with Streamlit: AI and data applications in minutes

Build Python Web Apps with Streamlit: AI and data applications in minutes

A

Aneev D. Kochakadan

WEB development
EN
Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph

A

Mayo Oshin, Nuno Campos

AI and ML
EN
RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

RAG with Python Cookbook: Practical Recipes from Data Preprocessing to LLM Agents

A

Dominik Polzer

AI and ML
EN
AI-Powered Search

AI-Powered Search

A

Trey Grainger, Doug Turnbull, Max Irwin

AI and ML
EN
Building AI Agents with LLMs, RAG, and Knowledge Graphs

Building AI Agents with LLMs, RAG, and Knowledge Graphs

A

Salvatore Raieli, Gabriele Iuculano

AI and ML
EN
Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications

Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications

A

Alireza Parandeh

WEB development
EN
AI Agents and Applications with LangChain, LangGraph, and MCP

AI Agents and Applications with LangChain, LangGraph, and MCP

A

Roberto Infante

AI and ML
RU
RAG and Generative AI. Building Custom RAG Pipelines with LlamaIndex, Deep Lake, and Pinecone

RAG and Generative AI. Building Custom RAG Pipelines with LlamaIndex, Deep Lake, and Pinecone

A

Дэнис Ротман

AI and ML
RU
AI Engineering. Building Applications with Foundational Models

AI Engineering. Building Applications with Foundational Models

A

Чип Хьюен

AI and ML
EN
Building AI Intensive Python Applications: Create intelligent apps with LLMs and vector databases

Building AI Intensive Python Applications: Create intelligent apps with LLMs and vector databases

A

Rachelle Palmer, Ben Perlmutter, Ashwin Gangadhar, Nicholas Larew, Sigfrido Narváez, Thomas Rueckstiess, Henry Weller, Richmond Alake, Shubham Ranjan

AI and ML
EN
Effective Conversational AI: Chatbots that Work

Effective Conversational AI: Chatbots that Work

A

Andrew R. Freed, Cari Jacobs, Enikő Rózsa

AI and ML