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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.

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

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