RAG & Retrieval
Grounding models in your data.
Retrieval-augmented generation (RAG) grounds a language model in external data by retrieving relevant documents at query time and adding them to the prompt, reducing hallucination and keeping answers current.
18 episodes
- The AI Framework Era Is Over: Why Context Is the Moat | Jerry Liu
- Hallucinations Are a Data Architecture Problem | Sudhir Hasbe, Neo4j
- Agent Memory: The Last Battleground in the AI Stack | Richmond Alake, Oracle
- Context Poisoning Is Killing Your AI Agents: How to Stop It
- How Intercom Cut $250K/Month by Ditching GPT for Qwen
- Beyond Transformers: How Liquid AI Is Rethinking LLM Architecture | Maxime Labonne
- Mastering Multi-Agent Systems | MongoDB’s Mikiko Chandrasekhar
- The AI Agent Trust Gap: Bridging Risk to Reliability | Elastic’s Philipp Krenn
- Your Key to AI Success is Hiding in Plain Sight | Cohesity's Greg Statton
- AI's Two Extremes – Foundations & The Frontier | Databricks’ Denny Lee
- Breaking the Language Barrier: Smartling's AI Translation Pipeline | Olga Beregovaya
- Inside IBM's watsonx: Building Enterprise AI That Ships | Dr. Maryam Ashoori
- Information Symmetry: DevRev's Bet on AI-Driven Enterprise Decisions | Manoj Agarwal
- How DeepSeek Changed the AI Race Overnight
- AI Infrastructure & the Evolution of RAG | Weaviate's Bob van Luijt
- The Enterprise AI Deployment Playbook | ServiceTitan, Indeed & Twilio
- Practical Lessons for GenAI Evals | Chip Huyen & Vivienne Zhang
- Got Agents? Agentic Workflows & Architecture | Weaviate, Unstructured & CrewAI
Explainers on this topic
- Fine-Tuning vs. RAG vs. Prompting: How to Choose
- Vector Database vs. Knowledge Graph for AI Retrieval
- Agentic RAG vs. Traditional RAG
- Are AI Hallucinations a Data Problem?
- How to Evaluate a RAG System
- What Is RAG (Retrieval-Augmented Generation)
- When AI Hallucinations Are Good (and When They're Dangerous)
- The 5 Sources of Context an AI Agent Needs
Terms on this topic
- Answer Relevance
- Context Relevance
- Embeddings
- Faithfulness
- GraphRAG
- Knowledge Graph
- Mean Reciprocal Rank (MRR)
- Retrieval-Augmented Generation (RAG)
- Vector Database
Guests on this topic
Jerry LiuSudhir HasbeRichmond AlakeMichel TricotFergal ReidMaxime LabonneMikiko ChandrasekharPhilipp KrennGreg StattonDenny LeeOlga BeregovayaMaryam AshooriManoj AgarwalYash ShethAtindriyo SanyalBob van LuijtMehmet Murat EzbiderliVinnie GiarrussoGrant LedfordChip HuyenVivienne ZhangBrian RaymondJoão Moura