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Price: 3067.00 RUB
Unlock the Power of RAG with LlamaIndex, Deep Lake & Pinecone
Discover a comprehensive guide to building efficient RAG pipelines that maximize AI performance while minimizing costs. This book dives deep into Retrieval-Augmented Generation (RAG), large language models, computer vision, and generative AI, showing you how to create high-performing systems without breaking the bank.
Learn to construct robust RAG infrastructure from the ground up, exploring vector storage, chunking, indexing, and ranking. Master performance optimization techniques and advanced data analysis methods, including adaptive RAG, human-in-the-loop feedback for refined searches, RAG fine-tuning, and dynamic RAG for real-time decision support. Visualize complex data effectively with knowledge graphs.
Practical examples show you how to integrate leading frameworks like LlamaIndex and Deep Lake, vector databases such as Pinecone and Chroma, and models from Hugging Face and OpenAI. Gain hands-on skills to deploy intelligent solutions across production and customer service projects, enhancing your competitive edge.
Whether you're an AI practitioner or a developer looking to elevate your projects, this resource provides the tools and insights needed to implement smarter, more accurate AI systems.
