A document intelligence platform for querying PDFs using natural language. Demo
Infernity lets you upload PDF documents and ask questions about them in plain English. Instead of skimming through pages manually, you get precise, context-aware answers — with the exact source passages highlighted so you always know where the information came from.
- Natural Language Querying — Ask questions about your documents the way you'd ask a person.
- RAG Architecture — Retrieval-Augmented Generation ensures answers are grounded in your actual document content, not hallucinated.
- Vector Database Integration — Documents are chunked and embedded for fast, semantically accurate retrieval.
- Chunk Highlighting — Every answer surfaces the exact source passages it was derived from, directly in the document, building transparency and trust.
- Upload a PDF document.
- The document is chunked and embedded into a vector database.
- You ask a question in natural language.
- Relevant chunks are retrieved from the vector store based on semantic similarity.
- An LLM generates an answer using only the retrieved context.
- The source chunks are highlighted in the original document so you can verify every response.
Built with curiosity and too many PDFs.