Engineering notes, product thinking, and implementation guides on production RAG, Gemini File Search, retrieval orchestration, citations, evaluation, and source-backed answer systems.
Journal
Browse practical essays on retrieval design, grounded answer systems, agent behavior, product architecture, and evaluation.
Learn how multimodal retrieval-augmented generation extends classic RAG across text, images, layouts, tables, audio, video, and agentic workflows.
A technical deep dive into how LlamaIndex structures ingestion, indexing, retrieval, synthesis, and event-driven RAG workflows.
A technical guide to how ChatGPT, embeddings, vector search, and RAG pipelines work together to produce grounded AI answers.
A practical guide to building Claude retrieval systems with text and multimodal embeddings, reranking, and citations.
A technical guide to Pinecone's vector database, RAG architecture, reranking, Assistant, and Nexus knowledge engine direction.
An in-depth, practical guide to the Gemini API File Search tool — how managed Gemini File Search RAG works end to end, and how multimodal retrieval handles PDFs, docs, images, screenshots, charts, diagrams, metadata, and citations in production.
From ideas to product
Use Calypso to organize sources, attach them to hosted agents, and launch source-backed answers across your website, workflows, and product UI.
