engineering vector search

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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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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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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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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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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)
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The Complete Graph Rag Handbook: Master Knowledge Graphs, Vector Search, Hybrid Retrieval, LLMs, Context Engineering, and Production-Ready AI Systems
The Complete Graph Rag Handbook: Master Knowledge Graphs, Vector Search, Hybrid Retrieval, LLMs, Context Engineering, and Production-Ready AI Systems
£12.63
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Engineering Vector Search with Pgvector and Qdrant: Implementing Hybrid RAG for Semantic Search and Driven Applications
Engineering Vector Search with Pgvector and Qdrant: Implementing Hybrid RAG for Semantic Search and Driven Applications
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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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Mastering Semantic Search Engineering: Building Retrieval Systems with LLM Embeddings, Vector Databases, and Hybrid Ranking
Mastering Semantic Search Engineering: Building Retrieval Systems with LLM Embeddings, Vector Databases, and Hybrid Ranking
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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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Mastering Semantic Search Engineering: Building Retrieval Systems with LLM Embeddings, Vector Databases, and Hybrid Ranking
Mastering Semantic Search Engineering: Building Retrieval Systems with LLM Embeddings, Vector Databases, and Hybrid Ranking
£22.91
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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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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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Engineering Vector Search with Pgvector and Qdrant: Implementing Hybrid RAG for Semantic Search and Driven Applications
Engineering Vector Search with Pgvector and Qdrant: Implementing Hybrid RAG for Semantic Search and Driven Applications
£13.51
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Vector Database Engineering: Building Scalable AI Search & Retrieval Systems with FAISS, Milvus, Pinecone, Weaviate, RAG Pipelines, Embeddings, High ... Equations) (AI Engineering for Practitioners)
Vector Database Engineering: Building Scalable AI Search & Retrieval Systems with FAISS, Milvus, Pinecone, Weaviate, RAG Pipelines, Embeddings, High ... Equations) (AI Engineering for Practitioners)
£21.98
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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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Generative AI Architecture with LLMs, RAG, and Vector DB: Build GenAI apps with prompt engineering, RAG, Vector DBs, Azure OpenAI, and semantic search
Generative AI Architecture with LLMs, RAG, and Vector DB: Build GenAI apps with prompt engineering, RAG, Vector DBs, Azure OpenAI, and semantic search
£29.99
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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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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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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
£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
£21.11
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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
£28.81
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Search for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data (Springer Theses)
Search for Invisible Decays of the Higgs Boson Produced via Vector Boson Fusion at the LHC with CMS Run 2 data (Springer Theses)
£119.99
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Vector Database for Developers: A Practical Guide to Mastering Vector Search for Next-Gen Applications and Optimizing AI and Machine Learning Workflows
Vector Database for Developers: A Practical Guide to Mastering Vector Search for Next-Gen Applications and Optimizing AI and Machine Learning Workflows
£14.13
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MongoDB Atlas Vector Search Simplified: Build Retrieval-Augmented Generation (RAG) AI Apps with Python (DevTech series)
MongoDB Atlas Vector Search Simplified: Build Retrieval-Augmented Generation (RAG) AI Apps with Python (DevTech series)
£21.54
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