← All foundries

Agentic RAG

Ask questions about any document and get accurate answers

Build a document Q&A system that lets users upload any document — PDFs, contracts, reports, research papers — and immediately ask questions about it. The agent chunks, indexes, and retrieves relevant sections to answer questions with precise citations.

Architecture

Document Q&A Pipeline

Stack

eigenForge Agent ForgeDocument parser (PDF, DOCX, etc.)Vector databaseLLM for comprehension

Implementation

  1. 1

    Build the document processor

    Create a pipeline that accepts uploaded documents, extracts text preserving structure (headings, tables, lists), and chunks intelligently at semantic boundaries.

  2. 2

    Create per-document indexes

    Generate embeddings for each chunk and store in an isolated namespace. Each document gets its own searchable index for precise retrieval.

  3. 3

    Build the Q&A agent

    Design an agent that searches the document index, retrieves relevant chunks, and answers questions with page/section citations.

  4. 4

    Handle complex questions

    Configure multi-step reasoning for questions that require synthesizing information across different sections of the document.

  5. 5

    Add comparison and extraction

    Extend the agent to compare across multiple uploaded documents and extract structured data like key terms, dates, and figures.

What You Get

  • Instant Q&A on any uploaded document
  • Accurate answers with page and section citations
  • Multi-document comparison and cross-reference
  • Structured data extraction from unstructured documents

Related Foundries

Build an Agentic RAG Pipeline

Build a RAG-Powered AI Chatbot

AI Knowledge Base with Agentic RAG

Ready to build this?

Join the Waitlist