Cohere
Embedding models including multilingual and legal fine-tunes
Episodes
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#4106: Embedding Models vs LLMs: What Actually Connects?Can you mix any embedding model with any LLM? And why are new embedding models still dropping if they're "solved"? -
#2673: The Embedding Coupling Problem: Editing Vector StoresCan you edit or delete individual chunks in Pinecone? And can you actually back up a vector index? Yes—but with critical caveats. -
#2271: Vector Search in a Single FileWhat if you could do vector search with just SQLite? We explore sqlite-vec, the extension that adds embeddings to the world's simplest database, an... -
#2168: What Serious Agentic AI Developers Actually Need to KnowPython, TypeScript, LangGraph, and the frameworks reshaping how agents work. A technical map of the skills and concepts that separate prototypes fr... -
#1914: Google Invented RAG's Secret SauceBefore LLMs, Google solved the "hallucination" problem with a two-stage trick that's making a huge comeback. -
#1609: IBM Granite 4.0: The Industrial Workhorse of Business AIForget flashy chatbots. Discover how IBM is building high-efficiency, industrial-grade AI models designed to run the world's biggest businesses. -
#1601: Cohere: The Switzerland of Enterprise AIWhile others chase viral memes, Cohere is quietly building the secure, cloud-agnostic infrastructure powering the global enterprise. -
#1547: Why AI Stopped Reading and Started Seeing EverythingFrom sequential bottlenecks to parallel powerhouses, discover how the Transformer architecture revolutionized how machines process the world. -
#76: Why Enterprises Choose Boring AIWhy use IBM Granite when you have GPT-4? Herman and Corn explore the strategic world of niche AI models and enterprise infrastructure.