Long Live Context Engineering - with Jeff Huber of Chroma

Jeff Huber of Chroma joins us to talk about what actually matters in vector databases in 2025, why “modern search for AI” is different, and how to ship systems that don’t rot as context grows. Full show notes: https://www.latent.space/p/chroma 00:00 Introductions 00:48 Why Build Chroma 02:55 Information Retrieval vs. Search 04:29 Staying Focused in a Competitive AI Market 08:08 Building Chroma Cloud 12:15 Context Engineering and the Problems with RAG 16:11 Context Rot 21:49 Prioritizing Context Quality 27:02 Code Indexing and Retrieval Strategies 32:04 Chunk Rewriting and Query Optimization for Code 34:07 Transformer Architecture Evolution and Retrieval Systems 38:06 Memory as a Benefit of Context Engineering 40:13 Structuring AI Memory and Offline Compaction 45:46 Lessons from Previous Startups and Building with Purpose 47:32 Religion and Values in Silicon Valley 50:18 Company Culture, Design, and Brand Consistency 52:36 Hiring at Chroma: Designers, Researchers, and Engineers