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analise-pdf

Extract insights, summaries, and cited answers from PDF documents via RAG.

Updated Mar 9, 2026
Search Tags:#summarization#pdf#rag#chroma#semantic-search#information-extraction#document-analysis
One-click install
npx skills add https://github.com/tocadaoncamod/agentes-ia-agno --skill analise-pdf
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analise-pdf
Source: https://github.com/tocadaoncamod/agentes-ia-agno/tree/main/.agent/skills/analise-pdf
Command: npx skills add https://github.com/tocadaoncamod/agentes-ia-agno --skill analise-pdf

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates extracting actionable insights from PDF documents to avoid manual reading and analysis, enabling fast summaries, precise answers, and structured data extraction for document-heavy tasks.

Core Features & Use Cases

  • RAG-powered Document Q&A: Perform retrieval-augmented generation queries over indexed PDF chunks to answer specific questions with cited excerpts.
  • Executive Summaries & Data Extraction: Generate concise executive summaries, highlight key points, and extract tabular or structured data for downstream use.
  • Verification and Traceability: Confirm documents are indexed in the vector store (e.g., ChromaDB), report chunk counts, and always include source citations for transparency.
  • Use Case: An analyst uploads a technical report and requests a one-page executive summary with the top 5 supporting excerpts and extracted metric values.

Quick Start

Ask the agent to analyze the uploaded document.pdf and produce an executive summary with cited excerpts and key extracted data points.

Frequently Asked Questions about analise-pdf

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract specific answers and cited excerpts from a PDF document?▼

PDF analysis with RAG generates concise executive summaries and extracts structured data, eliminating manual reading by applying semantic search over indexed document chunks to highlight key points.

Does PDF analysis with RAG work with ChromaDB for document indexing?▼

Yes, this PDF analysis approach expects a vector document store like ChromaDB with knowledge.load and search enabled to index chunks and verify chunk counts before querying.

What is the best way to generate an executive summary from a technical report?▼

The best way to generate an executive summary from a technical report is using RAG-powered PDF analysis to extract key points, supporting excerpts, and structured metric values.

Can I extract structured data and tabular information from PDF files?▼

Yes, you can extract tabular and structured data from PDF files using retrieval-augmented generation, pulling metric values for downstream document-heavy workflows.

How do I verify that my PDF document is properly indexed for semantic search?▼

To verify your PDF is indexed for semantic search, use the analysis tool to confirm the document's presence in the vector store and report the total chunk counts before querying.

What are the limitations of using RAG for PDF document analysis?▼

A limitation of using RAG for PDF analysis is its dependency on a pre-configured vector store like ChromaDB, meaning it cannot process un-indexed documents and requires knowledge.load enabled.

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