- rag-api: new POST /chat/stream SSE endpoint emits live pipeline stages (embed/retrieve/context/llm/answer) and streams LLM tokens
- Knowledge Chat: document chat now streams answers token-by-token and pulses each pipeline stage in real time as it executes
- How-it-works panel: active stage glows/scales, completed stages settle, agent mode also drives the pulse
- LangChain made visible: orchestrated-by-LangChain badge + LC markers on LangChain-native nodes (TextSplitter, Embeddings, as_retriever, ChatOpenAI, Chroma)
Add a collapsible, pulsing architecture diagram to the Knowledge Chat that
visualizes the real RAG pipeline in two rows: Index (Upload -> Docling ->
Split -> Embed/MiniLM -> ChromaDB) and Query (Question -> Embed -> Retrieve
-> Context -> LLM -> Answer), badged with the actual stack (LangChain,
ChromaDB, Docling, sentence-transformers).
Connectors have a flowing dashed track plus a traveling glow dot and nodes
pulse; the whole flow speeds up while the chat/ingest is busy. Honors
prefers-reduced-motion.
mo