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AI · RAG Platform · 2024 — 2025

DevPulse — making 50,000 documents
feel like one searchable mind.

A retrieval-augmented platform for engineering teams: ingest scattered docs, threads, and PDFs into role-scoped workspaces — then ask questions and get citation-grounded answers. Built for recall, latency, and refusal — not demo-day magic.

Next.js · TypeScript · Hybrid Retrieval · LLM 4 workspaces preloaded 25 docs · 12 sessions

Try this once you're in

  1. 1
    Pick a workspace
    4 are preloaded: Backend Engineering · Frontend KB · DevOps · AI/ML Research.
  2. 2
    Browse documents
    Each workspace has ~6–9 docs in mixed states (indexed, processing, failed) — see how the UI handles each.
  3. 3
    Open a chat session
    12 multi-turn sessions are preloaded with realistic conversations across all workspaces.
  4. 4
    Ask a new question
    Citations are inlined with the answer — click a citation to jump to the source chunk.

Demo credentials

Passworddemo123
Enter Demo
Note for reviewers — this demo runs against a mock backend that mirrors the production RAG pipeline shape (Postgres + pgvector retrieval, hybrid scoring, JWT auth) but returns deterministic seeded responses so the demo stays snappy and predictable. Source on GitHub ↗.
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