RAG & Document Intelligence

Document ingestion and grounded retrieval that connect useful answers to inspectable source references.

The problem

Unstructured documents contain useful knowledge, but readers need a way to find relevant material and inspect the evidence behind an answer.

The response

Parse and chunk documents, build semantic indexes, retrieve relevant context with hybrid search and metadata filters, and assemble responses that retain their source references.

The workflow

1. Ingest
2. Parse & chunk
3. Embed & index
4. Filter & retrieve
5. Assemble context
6. Answer & cite

My contribution

• Multi-format parsing and semantic indexing.
• Metadata-filtered retrieval and hybrid search.
• A conversational interface connecting answers to source references.

Outcomes

Turns document collections into searchable knowledge while making the source of an answer visible.

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