P-014 · Case study
RESEARCHAI Document Analysis Agent
An agentic RAG workflow that breaks complex questions into sub-queries and pulls multi-modal answers out of unstructured PDFs. Inference runs locally via Ollama.
PythonLangChainOllamaChromaDBQdrantFastAPIDockerOpenCVRAG
P-014 / Register plateRESEARCH
No plate photograph on file · schematic record only
PythonLangChainOllama
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An agentic RAG workflow for complex query decomposition and multi-modal knowledge retrieval from unstructured PDFs. OpenCV handles computer-vision document parsing, LangChain handles orchestration, and LLM inference runs locally via Ollama. ChromaDB and Qdrant back the vector similarity search; Docker-containerized FastAPI endpoints expose it all over REST.