Case Radar
Victory Nnaji
As the AI Engineer behind CaseRadar, I designed and implemented advanced Retrieval-Augmented Generation (RAG) pipelines and AI agent workflows to provide precise and efficient responses to user queries.
Leveraging a knowledge base of over 6,000 PDF documents, I developed scalable endpoints using FastAPI, ensuring seamless performance even under high-traffic conditions.
My work focused on optimizing speed and reliability, integrating cutting-edge tools like LangChain, OpenAI, Pinecone, and MongoDB to deliver a robust and user-centric AI solution.
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Posted Dec 8, 2024
As the AI Engineer for CaseRadar, I built RAG pipelines and AI agent workflows to deliver efficient answers from a knowledge base of over 6,000 PDF documents.
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