ML/AIFeatured

Enron Forensic Intelligence

AI-powered forensic analysis tool for exploring the Enron email dataset using RAG and semantic search.

Tech Stack

PythonLangChainOpenAIPineconeReactFastAPI

Dataset Size

600k+ emails

Retrieval

Sub-second

Problem

Analyzing 600,000 internal emails for forensic patterns was impossible for manual audit teams within mission-critical timelines.

Built a vectorized RAG pipeline with semantic search, leveraging LangChain and Pinecone for high-dimensional retrieval.

Semantic RAG retrieval across 600k+ emails

Automated timeline generation for document analysis

FastAPI backend with vector store integration

Sub-second retrieval on large email corpus

Reduced manual search effort significantly

Automated key entity and event extraction

End of Case Study Report v1.02. Verified via Engineering Unit AKJ.

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