Build a Mini RAG App in 2 Hours — Live Demo with LangChain, Chroma & LangSmith

**What we’ll do** A fast-paced, live demo where we build a tiny Retrieval-Augmented Generation (RAG) app end-to-end. We’ll keep installs to a minimum (think Google Colab) and focus on the “aha!” moments—how retrieval changes answers, how to trace runs, and what to tweak for quality. **Who this is for** Developers, data folks, solution architects, and curious PMs who want a practical, vendor-agnostic intro to RAG without a heavy setup. **You’ll see (live):** * Ingest a small doc set and create embeddings (Chroma) * Wire up retrieval + generation with LangChain * Compare single-query vs. multi-query and sub-query (“drill-down”) retrieval * Use LangSmith to trace, compare, and reason about answer quality **You’ll take away:** * A handout with step-by-step instructions * 4 demo notebooks + a tiny sample dataset * A simple checklist for moving from demo to a real pilot * Post-event WhatsApp support for Q&A while you practice **Agenda (120 minutes)** * 0:00–0:10 — RAG concepts, what we’re building * 0:10–0:35 — Mini RAG app (end-to-end) + tracing * 0:35–1:05 — Multi-query retrieval (when and why) * 1:05–1:25 — Sub-query / drill-down retrieval * 1:25–1:40 — Step-back/generification (rapid demo) * 1:40–2:00 — Wrap-up, next steps, resources, Q&A **Before you join** * No deep ML background needed. * Optional: a Google account for Colab if you want to follow along visually. * We’ll share all materials after the session. **After the event** Have questions while practicing? Use our WhatsApp group and we’ll help during business hours. **Format:** Live online (meeting link will be shared after RSVP) **Cost:** Free **Level:** Beginner–Intermediate RSVP to save your spot!