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Vector Search with JavaScript: Build Intelligent Search Systems with AI
Vector Search with JavaScript: Build Intelligent Search Systems with AI
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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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RAG Systems Guide: Machine Learning Retrieval | Intelligent Search Systems | AI Vector Integration | Advanced Retrieval Methods | AI Search Case Studies | Next-Gen AI Search | Knowledge AI Enhancement
RAG Systems Guide: Machine Learning Retrieval | Intelligent Search Systems | AI Vector Integration | Advanced Retrieval Methods | AI Search Case Studies | Next-Gen AI Search | Knowledge AI Enhancement
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Large Language Models Architecture and Deployment: Build End-to-End Generative AI Applications with RAG, Vector Search, Fine-Tuning, APIs, and Cloud Infrastructure
Large Language Models Architecture and Deployment: Build End-to-End Generative AI Applications with RAG, Vector Search, Fine-Tuning, APIs, and Cloud Infrastructure
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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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Microsoft Certified Azure AI Apps and Agents Developer Associate AI 103 Practice Test: The Ultimate AI-103 Exam Prep Guide Covering Azure AI Foundry, ... RAG, Vector Search, and Responsible AI
Microsoft Certified Azure AI Apps and Agents Developer Associate AI 103 Practice Test: The Ultimate AI-103 Exam Prep Guide Covering Azure AI Foundry, ... RAG, Vector Search, and Responsible AI
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Large Language Models Architecture and Deployment: Build End-to-End Generative AI Applications with RAG, Vector Search, Fine-Tuning, APIs, and Cloud Infrastructure
Large Language Models Architecture and Deployment: Build End-to-End Generative AI Applications with RAG, Vector Search, Fine-Tuning, APIs, and Cloud Infrastructure
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Agentic RAG Systems: Design, Build & Deploy Production Ready Knowledge-Powered AI Agents: Master GraphRAG, Vector Search, LangGraph, and Self-Correcting Retrieval for Scalable Real-World Applications
Agentic RAG Systems: Design, Build & Deploy Production Ready Knowledge-Powered AI Agents: Master GraphRAG, Vector Search, LangGraph, and Self-Correcting Retrieval for Scalable Real-World Applications
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Spring Boot Storage Patterns: Jakarta Data Repository Adoption with Vector Similarity Search for AI-Enabled Persistence in Professional Applications
Spring Boot Storage Patterns: Jakarta Data Repository Adoption with Vector Similarity Search for AI-Enabled Persistence in Professional Applications
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Claude-Powered Vector Search: Design, Deploy, and Optimize Vector Search Infrastructure for RAG, AI Agents, and Long-Term Memory Systems
Claude-Powered Vector Search: Design, Deploy, and Optimize Vector Search Infrastructure for RAG, AI Agents, and Long-Term Memory Systems
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SUPABASE COMPLETE: BUILD REAL-TIME SAAS WITH POSTGRES & NEXT.JS: Production Auth, Storage, Vector Search, Serverless APIs - Scale Secure Backends Without Complexity
SUPABASE COMPLETE: BUILD REAL-TIME SAAS WITH POSTGRES & NEXT.JS: Production Auth, Storage, Vector Search, Serverless APIs - Scale Secure Backends Without Complexity
£28.12
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Agentic RAG Systems: Design, Build & Deploy Production Ready Knowledge-Powered AI Agents: Master GraphRAG, Vector Search, LangGraph, and Self-Correcting Retrieval for Scalable Real-World Applications
Agentic RAG Systems: Design, Build & Deploy Production Ready Knowledge-Powered AI Agents: Master GraphRAG, Vector Search, LangGraph, and Self-Correcting Retrieval for Scalable Real-World Applications
£27.34
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Engineering Vector Search Systems: Scalable Semantic Retrieval with FAISS, Milvus, Pinecone, Weaviate, and Hybrid AI Search (Modern AI Infrastructure)
Engineering Vector Search Systems: Scalable Semantic Retrieval with FAISS, Milvus, Pinecone, Weaviate, and Hybrid AI Search (Modern AI Infrastructure)
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GRAPH RAG FOUNDATIONS: Build Production-Ready Knowledge Graph AI Systems with Neo4j, Python, Vector Search, Hybrid Retrieval, and Large Language Models
GRAPH RAG FOUNDATIONS: Build Production-Ready Knowledge Graph AI Systems with Neo4j, Python, Vector Search, Hybrid Retrieval, and Large Language Models
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The Vector Database Handbook: Efficient Scaling for AI-Driven Search
The Vector Database Handbook: Efficient Scaling for AI-Driven Search
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Production RAG System for AI Engineers: Building Reliable LLM Products with Vector Search, Context Management, Monitoring, and Evaluation
Production RAG System for AI Engineers: Building Reliable LLM Products with Vector Search, Context Management, Monitoring, and Evaluation
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Building Vector Search Engines from Scratch: Storage, Indexing, and High-Performance Retrieval for AI Systems
Building Vector Search Engines from Scratch: Storage, Indexing, and High-Performance Retrieval for AI Systems
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Claude-Powered Vector Search: Design, Deploy, and Optimize Vector Search Infrastructure for RAG, AI Agents, and Long-Term Memory Systems
Claude-Powered Vector Search: Design, Deploy, and Optimize Vector Search Infrastructure for RAG, AI Agents, and Long-Term Memory Systems
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Vector Database Engineering: Building Scalable AI Search & Retrieval Systems with FAISS, Milvus, Pinecone, Weaviate, RAG Pipelines, Embeddings, High ... 1 (AI Engineering for Practitioners)
Vector Database Engineering: Building Scalable AI Search & Retrieval Systems with FAISS, Milvus, Pinecone, Weaviate, RAG Pipelines, Embeddings, High ... 1 (AI Engineering for Practitioners)
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Engineering Vector Search Systems: Scalable Semantic Retrieval with FAISS, Milvus, Pinecone, Weaviate, and Hybrid AI Search (Modern AI Infrastructure)
Engineering Vector Search Systems: Scalable Semantic Retrieval with FAISS, Milvus, Pinecone, Weaviate, and Hybrid AI Search (Modern AI Infrastructure)
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AI That Reads: RAG in TypeScript: Embeddings, Vector Search, and Answers Grounded in Your Documents
AI That Reads: RAG in TypeScript: Embeddings, Vector Search, and Answers Grounded in Your Documents
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MongoDB 8.0: The Complete Guide - From Zero to Production: Atlas · Sharding · Replication · Indexing Aggregation · Vector Search · Compass Ops Manager · Performance Tuning · Security
MongoDB 8.0: The Complete Guide - From Zero to Production: Atlas · Sharding · Replication · Indexing Aggregation · Vector Search · Compass Ops Manager · Performance Tuning · Security
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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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GRAPH RAG FOUNDATIONS: Build Production-Ready Knowledge Graph AI Systems with Neo4j, Python, Vector Search, Hybrid Retrieval, and Large Language Models
GRAPH RAG FOUNDATIONS: Build Production-Ready Knowledge Graph AI Systems with Neo4j, Python, Vector Search, Hybrid Retrieval, and Large Language Models
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AI That Reads: RAG in TypeScript: Embeddings, Vector Search, and Answers Grounded in Your Documents
AI That Reads: RAG in TypeScript: Embeddings, Vector Search, and Answers Grounded in Your Documents
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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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Vector Search for Practitioners with Elastic: A toolkit for building NLP solutions for search, observability, and security using vector search
Vector Search for Practitioners with Elastic: A toolkit for building NLP solutions for search, observability, and security using vector search
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Vector Database Engineering Made Easy: Building High-Performance Semantic Search, RAG Systems, and AI Applications with Pinecone, Qdrant, and Milvus: 7 (Quick Start Developer Series)
Vector Database Engineering Made Easy: Building High-Performance Semantic Search, RAG Systems, and AI Applications with Pinecone, Qdrant, and Milvus: 7 (Quick Start Developer Series)
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10 Algorithms Every Forward Deployed Engineer Should Know: Vector Search and Anomaly Detection (Part 3) (Guide to Forward-Deployed Engineering)
10 Algorithms Every Forward Deployed Engineer Should Know: Vector Search and Anomaly Detection (Part 3) (Guide to Forward-Deployed Engineering)
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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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pgvector at Scale for PostgreSQL: Production Vector Search and RAG
pgvector at Scale for PostgreSQL: Production Vector Search and RAG
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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
£8.23
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LangChain and LlamaIndex for Beginners: A Practical Guide to Building AI Applications with Retrieval-Augmented Generation, Vector Search, and Real Data
LangChain and LlamaIndex for Beginners: A Practical Guide to Building AI Applications with Retrieval-Augmented Generation, Vector Search, and Real Data
£22.16
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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
£22.82
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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
£23.89
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Agentic AI with PostgreSQL 18: Build Autonomous AI Agents with Memory, Vector Search, and Scalable Real-World Applications
Agentic AI with PostgreSQL 18: Build Autonomous AI Agents with Memory, Vector Search, and Scalable Real-World Applications
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Vector Search Made Simple: Find better. Retrieve better. Answer better. 10 minutes a day: 16 (Quick Guide to Data Science)
Vector Search Made Simple: Find better. Retrieve better. Answer better. 10 minutes a day: 16 (Quick Guide to Data Science)
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The Architecture Handbook for Milvus Vector Database: Design and implement high-performance vector search systems with Milvus
The Architecture Handbook for Milvus Vector Database: Design and implement high-performance vector search systems with Milvus
£37.99
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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
£31.99
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Vector Database Engineering Simplified: Building Semantic Search, Vector Search, and RAG Systems with Pinecone, Qdrant & Milvus (DevTech series)
Vector Database Engineering Simplified: Building Semantic Search, Vector Search, and RAG Systems with Pinecone, Qdrant & Milvus (DevTech series)
£20.10
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