1-14
of
14
results
-
Data Engineering with Vectors:...Book DescriptionData Engineering with Vectors: Building Scalable Pipelines and... Book DescriptionData Engineering with Vectors: Building Scalable Pipelines and Intelligent Systems with Vector Databases is a practical and forward-looking guide for anyone who wants to understand and apply the power of vectors in modern data... more
-
AI Engineering for Practitione...Vector Database Engineering is the ultimate guide to designing building and de... Vector Database Engineering is the ultimate guide to designing building and deploying scalable vector search systems using tools like FAISS Milvus Pinecone Weaviate and Qdrant. Whether you re building a semantic search engine a personalized... more
-
Engineering Vector Databases a...Build vector search systems that hold up in production. This book gives engine... Build vector search systems that hold up in production. This book gives engineers architects and technical leaders a practical blueprint for designing building and operating vector databases at scale. It moves from core retrieval concepts to... more
-
Vector Database Systems Engine...Vector Database Systems Engineering is an advanced practical guide to building... Vector Database Systems Engineering is an advanced practical guide to building intelligent scalable and high-performance vector-native architectures for modern AI applications this book explores the core principles engineering patterns and... more
-
Vector Database & Rag Engineer...Unlock the full power of Large Language Models (LLMs) AI agents and production... Unlock the full power of Large Language Models (LLMs) AI agents and production-grade AI applications with Vector Database & RAG Engineering. This advanced guide equips developers ML engineers and data scientists with the expertise to design scalable... more
-
System Designs with Vector Dat...What if you could build AI-driven systems that deliver lightning-fast recommen... What if you could build AI-driven systems that deliver lightning-fast recommendations secure sensitive data and scale effortlessly under massive workloads? Imagine transforming raw data into actionable insights with precision and efficiency. System... more
-
Building Production RAG System...Build Enterprise RAG Systems That Actually Work in Production Retrieval-Augmen... Build Enterprise RAG Systems That Actually Work in Production Retrieval-Augmented Generation (RAG) is the definitive architecture for enterprise AI yet transitioning from a simple prototype to a reliable production deployment remains a massive... more
-
Engineering Deep Agents with L...Engineering Deep Agents with LangChain is a practical guide for developers eng... Engineering Deep Agents with LangChain is a practical guide for developers engineers and AI practitioners who want to move beyond simple chatbots and start building structured intelligent multi-agent AI systems. This book walks you through the... more
-
Modern Backend Engineering Vec...Artificial intelligence applications increasingly rely on semantic search reco... Artificial intelligence applications increasingly rely on semantic search recommendation systems retrieval-augmented generation (RAG) and similarity matching. At the center of these systems lies a new category of infrastructure: vector databases.... more
-
Graph RAG Projects Engineering...Graph RAG Projects: Engineering Advanced Retrieval Systems with Vector Databas... Graph RAG Projects: Engineering Advanced Retrieval Systems with Vector Databases and LLMs is a comprehensive hands-on guide for developers AI engineers data scientists and enterprise teams building next-generation retrieval systems powered by... more
-
The Sydtek University Stacks G...Prompt engineering has emerged as a critical discipline in artificial intellig... Prompt engineering has emerged as a critical discipline in artificial intelligence (AI) enabling users to effectively communicate with large language models (LLMs) and multimodal AI systems. This textbook Prompt Engineering 101 provides a... more
-
Prompt Engineering Mastery: Th...The era of casual interaction with artificial intelligence is over. We have en... The era of casual interaction with artificial intelligence is over. We have entered a phase where absolute command over the machine mind dictates professional success. Interacting with large language models requires more than typing simple questions... more
-
Practical SQL: Database Manage...Stop writing basic queries and start engineering true business intelligence. D... Stop writing basic queries and start engineering true business intelligence. Data is the absolute most valuable asset in modern enterprise. However raw data sitting in a server is completely useless without the architectural skills to extract clean... more
-
Neo4j for Agentic AI Systems: ...Neo4j for Agentic AI Systems Integrating Knowledge Graph for Context-Aware AI ... Neo4j for Agentic AI Systems Integrating Knowledge Graph for Context-Aware AI Modern AI agents require more than vector databases and prompts. They need structured knowledge persistent memory and context-aware orchestration to function at scale.... more
Ads related to vector database prompt engineering dao ipo