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AskDocs.

Category

AI / RAG

Status

Live demo

Role

Full-Stack Engineering & RAG Architecture

Upload PDFs, Word documents, or text files and ask questions in plain language. Answers stream back with numbered citations pointing to the exact passages they came from, so every claim can be checked. Documents are chunked with overlap, embedded with Gemini, and stored in Pinecone; retrieval is scoped to each user’s own documents and drops low-relevance matches so the model isn’t fed noise. For legal, financial, or compliance questions it also searches the web for current regulations in the user’s location, and keeps what the document says separate from what current law says.

Next.jsGeminiPineconePostgreSQLPrismaNextAuthRAG