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SCALING AI APPLICATIONS: System Design Blueprints for Scaling Enterprise LLM Applications, Reducing Cloud Infrastructure Costs, and Optimizing Vector Databases
SCALING AI APPLICATIONS: System Design Blueprints for Scaling Enterprise LLM Applications, Reducing Cloud Infrastructure Costs, and Optimizing Vector Databases
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GRAPH-RAG ARCHITECTURE EXPLAINED: Design Retrieval-Augmented Graph Systems Using Knowledge Graphs, Vector Databases, Hybrid Search, Semantic Retrieval, and Production-Ready AI Pipelines
GRAPH-RAG ARCHITECTURE EXPLAINED: Design Retrieval-Augmented Graph Systems Using Knowledge Graphs, Vector Databases, Hybrid Search, Semantic Retrieval, and Production-Ready AI Pipelines
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Vector Databases: A Practical Introduction
Vector Databases: A Practical Introduction
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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
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The Knowledge Engine: Building RAG Systems: Retrieval-Augmented Generation with Python and Vector Databases
The Knowledge Engine: Building RAG Systems: Retrieval-Augmented Generation with Python and Vector Databases
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VECTOR DATABASES MADE SIMPLE: Learn to Design, Build, and Deploy AI-Powered Search and RAG Applications Without a PhD in Machine Learning
VECTOR DATABASES MADE SIMPLE: Learn to Design, Build, and Deploy AI-Powered Search and RAG Applications Without a PhD in Machine Learning
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Modern AI Application Development with Kotlin: Build Production-Ready AI Applications with Kotlin, Spring Boot, OpenAI, Vector Databases, and LangChain4j
Modern AI Application Development with Kotlin: Build Production-Ready AI Applications with Kotlin, Spring Boot, OpenAI, Vector Databases, and LangChain4j
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From Tokens to Agents: The Complete Guide to LLMs, RAG, Vector Databases, and Agentic AI
From Tokens to Agents: The Complete Guide to LLMs, RAG, Vector Databases, and Agentic AI
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Ultimate Azure AI Services for Gen AI Solutions: Build Advanced Gen AI Solutions with Azure OpenAI, LangChain and Vector Databases to Enhance ... Enterprise Operations (English Edition)
Ultimate Azure AI Services for Gen AI Solutions: Build Advanced Gen AI Solutions with Azure OpenAI, LangChain and Vector Databases to Enhance ... Enterprise Operations (English Edition)
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Modern AI Application Development with Kotlin: Build Production-Ready AI Applications with Kotlin, Spring Boot, OpenAI, Vector Databases, and LangChain4j
Modern AI Application Development with Kotlin: Build Production-Ready AI Applications with Kotlin, Spring Boot, OpenAI, Vector Databases, and LangChain4j
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Building Production RAG Systems: Vector Databases, Embeddings, and Retrieval Engineering (Production AI Engineering Series)
Building Production RAG Systems: Vector Databases, Embeddings, and Retrieval Engineering (Production AI Engineering Series)
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Next-Gen Chatbots & RAG From Zero to Hero: Architect Chatbots & Autonomous Agents with LangChain using advanced RAG & Vector Databases for Highly ... Stack: AI Engineering From Zero to Hero.)
Next-Gen Chatbots & RAG From Zero to Hero: Architect Chatbots & Autonomous Agents with LangChain using advanced RAG & Vector Databases for Highly ... Stack: AI Engineering From Zero to Hero.)
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Vector Databases and RAG with Python: Build intelligent search and retrieval systems using embeddings and LLMs (English Edition)
Vector Databases and RAG with Python: Build intelligent search and retrieval systems using embeddings and LLMs (English Edition)
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Building RAG Applications with Vector Databases from Prototype to Production: A Practical Guide to Designing, Deploying, and Scaling Retrieval-Augmented Generation Systems
Building RAG Applications with Vector Databases from Prototype to Production: A Practical Guide to Designing, Deploying, and Scaling Retrieval-Augmented Generation Systems
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Mastering Vector Databases: The Future of Data Retrieval and AI
Mastering Vector Databases: The Future of Data Retrieval and AI
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Generative AI with Python: The Developer's Guide to Pretrained Llms, Vector Databases, Retrieval-Augmented Generation, and Agentic Systems
Generative AI with Python: The Developer's Guide to Pretrained Llms, Vector Databases, Retrieval-Augmented Generation, and Agentic Systems
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Production Vector Databases: Designing High-Scale Similarity Search, Indexing, and Retrieval Infrastructure for Modern AI Applications
Production Vector Databases: Designing High-Scale Similarity Search, Indexing, and Retrieval Infrastructure for Modern AI Applications
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ENTERPRISE AI INFRASTRUCTURE: Modern MLOps, Vector Databases, GPU Clusters, and Scalable Data Architecture for LLMs (The Enterprise AI Architect’s Handbook)
ENTERPRISE AI INFRASTRUCTURE: Modern MLOps, Vector Databases, GPU Clusters, and Scalable Data Architecture for LLMs (The Enterprise AI Architect’s Handbook)
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Designing with Vectors: A Practical Guide to Vector Databases
Designing with Vectors: A Practical Guide to Vector Databases
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Production Vector Databases: Designing High-Scale Similarity Search, Indexing, and Retrieval Infrastructure for Modern AI Applications
Production Vector Databases: Designing High-Scale Similarity Search, Indexing, and Retrieval Infrastructure for Modern AI Applications
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Building Production AI Search Systems: A Guide for AI Engineers and Software Developers to Implement Semantic Search, Vector Databases, Hybrid Retrieval, RAG, Evaluation, and Scalable AI Deployment
Building Production AI Search Systems: A Guide for AI Engineers and Software Developers to Implement Semantic Search, Vector Databases, Hybrid Retrieval, RAG, Evaluation, and Scalable AI Deployment
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ENTERPRISE AI INFRASTRUCTURE: Modern MLOps, Vector Databases, GPU Clusters, and Scalable Data Architecture for LLMs (The Enterprise AI Architect’s Handbook)
ENTERPRISE AI INFRASTRUCTURE: Modern MLOps, Vector Databases, GPU Clusters, and Scalable Data Architecture for LLMs (The Enterprise AI Architect’s Handbook)
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Artificial Intelligence Integration in Application Stacks: Methods for Professional Developers Involving Large Language Models and Vector Databases in Scalable SaaS Platforms
Artificial Intelligence Integration in Application Stacks: Methods for Professional Developers Involving Large Language Models and Vector Databases in Scalable SaaS Platforms
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SCALING AI APPLICATIONS: System Design Blueprints for Scaling Enterprise LLM Applications, Reducing Cloud Infrastructure Costs, and Optimizing Vector Databases
SCALING AI APPLICATIONS: System Design Blueprints for Scaling Enterprise LLM Applications, Reducing Cloud Infrastructure Costs, and Optimizing Vector Databases
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Algorithms Under the Hood of AI: How Search, Retrieval, Embeddings, Vector Databases, Knowledge Graphs, Ranking Systems, and Recommendation Engines Power Modern AI Applications
Algorithms Under the Hood of AI: How Search, Retrieval, Embeddings, Vector Databases, Knowledge Graphs, Ranking Systems, and Recommendation Engines Power Modern AI Applications
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Vector Databases for AI Applications: Build Semantic Search, RAG Systems, and High-Performance Embedding Pipelines for Intelligent Applications
Vector Databases for AI Applications: Build Semantic Search, RAG Systems, and High-Performance Embedding Pipelines for Intelligent Applications
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From Tokens to Agents: The Complete Guide to LLMs, RAG, Vector Databases, and Agentic AI
From Tokens to Agents: The Complete Guide to LLMs, RAG, Vector Databases, and Agentic AI
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Engineering Vector Databases at Scale: Designing High-Dimensional Indexing and Distributed Retrieval Systems for AI Applications
Engineering Vector Databases at Scale: Designing High-Dimensional Indexing and Distributed Retrieval Systems for AI Applications
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Mastering PostgreSQL 18 for AI Handbook: A Practical Guide to Enterprise Databases, SQL Optimization, Analytics, Vector Search, and AI-Powered Applications
Mastering PostgreSQL 18 for AI Handbook: A Practical Guide to Enterprise Databases, SQL Optimization, Analytics, Vector Search, and AI-Powered Applications
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Production-Ready RAG Applications: Design and Build Scalable LLM Applications Using Vector Databases, Embeddings, and Retrieval-Augmented Generation
Production-Ready RAG Applications: Design and Build Scalable LLM Applications Using Vector Databases, Embeddings, and Retrieval-Augmented Generation
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The Mathematical Memory of AI: Building Reliable RAG, Agent Memory and Semantic Search Systems with Embeddings, Vector Databases and Retrieval Pipelines
The Mathematical Memory of AI: Building Reliable RAG, Agent Memory and Semantic Search Systems with Embeddings, Vector Databases and Retrieval Pipelines
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The AI Journey for Developers: Understanding LLMs, RAG, Vector Databases, and Agentic AI
The AI Journey for Developers: Understanding LLMs, RAG, Vector Databases, and Agentic AI
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The Knowledge Engine: Building RAG Systems: Retrieval-Augmented Generation with Python and Vector Databases
The Knowledge Engine: Building RAG Systems: Retrieval-Augmented Generation with Python and Vector Databases
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Engineering Vector Databases at Scale: Designing High-Dimensional Indexing and Distributed Retrieval Systems for AI Applications
Engineering Vector Databases at Scale: Designing High-Dimensional Indexing and Distributed Retrieval Systems for AI Applications
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Advanced LLM Systems Engineering: Architect, Deploy, and Scale Production-Ready AI Systems with RAG, Agents, Vector Databases, and MLOps
Advanced LLM Systems Engineering: Architect, Deploy, and Scale Production-Ready AI Systems with RAG, Agents, Vector Databases, and MLOps
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Vector Databases for Leaders: Building Semantic Intelligence for the Enterprise
Vector Databases for Leaders: Building Semantic Intelligence for the Enterprise
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Semantic AI Search with Vector Databases: A Complete Guide to Semantic Search, Embeddings & RAG. Think like AI, search smarter with vector databases.
Semantic AI Search with Vector Databases: A Complete Guide to Semantic Search, Embeddings & RAG. Think like AI, search smarter with vector databases.
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Production RAG with Vector Databases: A Hands-On Blueprint for Building Reliable AI Retrieval Systems with Real-World Workflows and Best Practices
Production RAG with Vector Databases: A Hands-On Blueprint for Building Reliable AI Retrieval Systems with Real-World Workflows and Best Practices
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THE RAG ARCHITECT’S HANDBOOK: BUILDING SCALABLE AND PRODUCTION-READY RAG SYSTEMS WITH LLMS, VECTOR DATABASES, AND ENTERPRISE AI WORKFLOWS (THE RAG MASTERY)
THE RAG ARCHITECT’S HANDBOOK: BUILDING SCALABLE AND PRODUCTION-READY RAG SYSTEMS WITH LLMS, VECTOR DATABASES, AND ENTERPRISE AI WORKFLOWS (THE RAG MASTERY)
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Top 150 VECTOR DATABASES Interview Questions & Answers: Covering Fundamentals to Advanced System Design For AI Engineers, ML Engineers, Data Engineers, Backend Engineers & Solutions Architects
Top 150 VECTOR DATABASES Interview Questions & Answers: Covering Fundamentals to Advanced System Design For AI Engineers, ML Engineers, Data Engineers, Backend Engineers & Solutions Architects
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