Chromadb on Tyler Wellshttps://blog-theta-seven-23.vercel.app/tags/chromadb/Recent content in Chromadb on Tyler WellsHugoen-usTue, 14 Apr 2026 00:00:00 +0000Keyword Search vs Semantic Search: Why Natural Language Queries Need Vector Embeddingshttps://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-3-keyword-vs-semantic/Tue, 14 Apr 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-3-keyword-vs-semantic/[Retail AI Series 3/5] Side-by-side comparison of keyword and semantic search, why keyword search fails on natural language queries, and what the retrieval scores actually tell you.Building the Catalog and Ingestion Pipeline: Archetypes, Embeddings, and ChromaDBhttps://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-2-catalog/Mon, 13 Apr 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-2-catalog/[Retail AI Series 2/5] How to generate 1180 realistic products from 20 archetypes, why product descriptions matter for RAG, and how the ingestion pipeline works.Building AI Search for a Retail Website: The Stack and Whyhttps://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-1-stack/Sun, 12 Apr 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/ozark-ridge-post-1-stack/[Retail AI Series 1/5] Building a mock outdoor retail site with AI-powered product search and a Rufus-style assistant. This post covers the architecture, stack decisions, and why RAG matters for e-commerce.RAG Retrieval: Chunking, Embeddings, Reranking, and an Evalhttps://blog-theta-seven-23.vercel.app/posts/rag-retrieval-quality/Thu, 22 Jan 2026 00:00:00 +0000https://blog-theta-seven-23.vercel.app/posts/rag-retrieval-quality/[RAG Series 1/3] Covers chunking strategy, embedding model consistency, reranking, and building an eval harness — including what happened when Voyage AI's free-tier rate limits forced a more resilient architecture.