// Generated by orrery. Edit the diagram spec and re-render instead of editing this file. import { type SVGProps, useId } from "react"; export default function RetrievalAugmentedGenerationWithOpenComponents(props: SVGProps) { const uid = useId().replace(/[^A-Za-z0-9_-]/g, ""); return ( Retrieval-augmented generation with open components Retrieval-augmented generation with open components. 14 components in 2 groups. Connections: Documents to Loaders; Loaders to Chunking; Chunking to Embedding; Embedding to bge-m3 (embed chunks); Embedding to Qdrant (upsert); User to React; React to FastAPI (POST /chat); FastAPI to LangChain; FastAPI to Redis; LangChain to bge-m3 (embed query); LangChain to Qdrant (search); LangChain to Ollama (prompt and context); LangChain to Hosted model API (alternative); LangChain to Langfuse (traces). RETRIEVAL-AUGMENTED GENERATION WITH OPEN COMPONENTS Documents are chunked and embedded into Qdrant; a FastAPI and LangChain backend retrieves context and answers with a local Ollama model or a hosted one EMBED CHUNKS EMBED CHUNKS UPSERT POST /CHAT EMBED QUERY SEARCH PROMPT AND CONTEXT ALTERNATIVE TRACES INGESTION QUERY DOCUMENTS PDF, HTML, Markdown LOADERS Parse and clean CHUNKING 512-token chunks EMBEDDING Embed and upsert USER REACT Chat UI FASTAPI Chat server LANGCHAIN Retrieval chain REDIS Answer cache BGE-M3 Embeds chunks and queries QDRANT Vector database OLLAMA Local LLM HOSTED MODEL API OpenAI-compatible LANGFUSE Traces and evals DATA FLOW ALTERNATIVE MODEL TRACING ); }