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#047 Architecting Information for Search, Humans, and Artificial Intelligence	How AI Is Built	57:22
#046 Building a Search Database From First Principles	How AI Is Built	53:29
#045 RAG As Two Things - Prompt Engineering and Search	How AI Is Built	62:44
#044 Graphs Aren't Just For Specialists Anymore	How AI Is Built	63:35
#043 Knowledge Graphs Won't Fix Bad Data	How AI Is Built	70:59
#042 Temporal RAG, Embracing Time for Smarter, Reliable Knowledge Graphs	How AI Is Built	93:44
#041 Context Engineering, How Knowledge Graphs Help LLMs Reason	How AI Is Built	93:35
#040 Vector Database Quantization, Product, Binary, and Scalar	How AI Is Built	52:12
#039 Local-First Search, How to Push Search To End-Devices	How AI Is Built	53:09
#038 AI-Powered Search, Context Is King, But Your RAG System Ignores Two-Thirds of It	How AI Is Built	74:24
#037 Chunking for RAG: Stop Breaking Your Documents Into Meaningless Pieces	How AI Is Built	49:13
#036 How AI Can Start Teaching Itself - Synthetic Data Deep Dive	How AI Is Built	48:11
#035 A Search System That Learns As You Use It (Agentic RAG)	How AI Is Built	45:30
#034 Rethinking Search Inside Postgres, From Lexemes to BM25	How AI Is Built	47:16
#033 RAG's Biggest Problems & How to Fix It (ft. Synthetic Data)	How AI Is Built	51:26
#032 Improving Documentation Quality for RAG Systems	How AI Is Built	46:37
#031 BM25 As The Workhorse Of Search; Vectors Are Its Visionary Cousin	How AI Is Built	54:05
#030 Vector Search at Scale, Why One Size Doesn't Fit All	How AI Is Built	36:26
#029 Search Systems at Scale, Avoiding Local Maxima and Other Engineering Lessons	How AI Is Built	54:47
#028 Training Multi-Modal AI, Inside the Jina CLIP Embedding Model	How AI Is Built	49:22
#027 Building the database for AI, Multi-modal AI, Multi-modal Storage	How AI Is Built	44:54
#026 Embedding Numbers, Categories, Locations, Images, Text, and The World	How AI Is Built	46:44
#025 Data Models to Remove Ambiguity from AI and Search	How AI Is Built	58:40
#024 How ColPali is Changing Information Retrieval	How AI Is Built	54:57
#023 The Power of Rerankers in Modern Search	How AI Is Built	42:29
#022 The Limits of Embeddings, Out-of-Domain Data, Long Context, Finetuning (and How We're Fixing It)	How AI Is Built	46:06
#021 The Problems You Will Encounter With RAG At Scale And How To Prevent (or fix) Them	How AI Is Built	50:09
#020 The Evolution of Search, Finding Search Signals, GenAI Augmented Retrieval	How AI Is Built	52:16
#019 Data-driven Search Optimization, Analysing Relevance	How AI Is Built	51:14
#018 Query Understanding: Doing The Work Before The Query Hits The Database	How AI Is Built	53:02
Season 2 Trailer: Mastering Search	How AI Is Built	04:16
#017 Unlocking Value from Unstructured Data, Real-World Applications of Generative AI	How AI Is Built	36:28
#016 Data Processing for AI, Integrating AI into Data Pipelines, Spark	How AI Is Built	46:26
#015 Building AI Agents for the Enterprise, Agent Cost Controls, Seamless UX	How AI Is Built	35:12
#014 Building Predictable Agents through Prompting, Compression, and Memory Strategies	How AI Is Built	32:14
Data Integration and Ingestion for AI & LLMs, Architecting Data Flows \| changelog 3	How AI Is Built	14:53
#013 ETL for LLMs, Integrating and Normalizing Unstructured Data	How AI Is Built	36:48
#012 Serverless Data Orchestration, AI in the Data Stack, AI Pipelines	How AI Is Built	28:06
#011 Mastering Vector Databases, Product & Binary Quantization, Multi-Vector Search	How AI Is Built	40:06
#010 Building Robust AI and Data Systems, Data Architecture, Data Quality, Data Storage	How AI Is Built	45:33

#047 Architecting Information for Search, Humans, and Artificial Intelligence

How AI Is Built

57:22

#046 Building a Search Database From First Principles

How AI Is Built

53:29

#045 RAG As Two Things - Prompt Engineering and Search

How AI Is Built

62:44

#044 Graphs Aren't Just For Specialists Anymore

How AI Is Built

63:35