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Unstructured Data into Intelligent Insights

Graphor empowers organizations to unlock the full potential of their unstructured data through state-of-the-art document parsing, intelligent data extraction, and advanced RAG pipelines. Our platform bridges the gap between raw information and actionable knowledge, enabling you to build powerful AI applications with precision and ease.

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Data Ingestion

Graphor applies state-of-the-art parsing to your documents, combining advanced OCR capabilities with intelligent text classification to transform unstructured content into structured, queryable formats.

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Supported File Formats

CategoryFormats
DocumentsPDF, DOC, DOCX, ODT, PPT, PPTX, HTML, TXT
TabularCSV, TSV, XLS, XLSX
ImagesPNG, JPG, JPEG, TIFF, BMP, HEIC
VideoMP4, MOV, AVI, MKV, WebM
AudioMP3, WAV, M4A, OGG, FLAC
MarkdownMD

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Multi-Source Ingestion

Beyond local file uploads, Graphor supports ingestion from multiple sources:
  • Web Scraping - Ingest content directly from URLs with optional crawling to capture linked pages
  • GitHub Repositories - Automatically process code and documentation from GitHub repos
  • YouTube Videos - Extract and process transcripts from YouTube videos

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Data Extraction

Transform your documents into structured data with LLM-powered extraction. Define custom output schemas and provide natural language instructions to extract exactly the information you need.
  • Custom Schema Definition - Define output fields with types (string, number, boolean, array) and descriptions
  • Natural Language Instructions - Guide the extraction process with custom prompts
  • Page-Level Provenance - Each extracted item includes references to source pages for full traceability

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Document Chat

Chat with your documents using natural language. Ask questions and get answers grounded in your ingested content.
  • Conversational Memory - Maintain context across multiple questions in the same conversation
  • Document Scoping - Focus your questions on a specific document or search across all sources
  • Contextual Answers - Responses are grounded in your actual document content

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Core Platform Capabilities

Our platform integrates:
  • Advanced Data Ingestion - Process unstructured data from multiple sources with state-of-the-art OCR and classification
  • LLM-Powered Data Extraction - Extract structured data from documents using customizable schemas
  • Document Chat - Ask questions and get answers grounded in your document content
  • Intelligent Chunking - Optimize document segmentation with classification models for enhanced retrieval
  • End-to-End RAG Pipeline - Build retrieval-augmented generation pipelines with ColPali technology support
  • Support for Mainstream LLMs - Compatible with OpenAI, Anthropic, and open-source alternatives
  • Evaluation Framework - Test and optimize RAG performance with comprehensive metrics
  • Export Flexibility - Expose your systems via REST API or MCP Server integration
  • User-Friendly Interface - Intuitive low-code workflow for managing data, models, and deployments

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Why Graphor?

Graphor stands apart with its comprehensive approach to unstructured data processing and RAG pipeline implementation, offering:
  • State-of-the-art parsing - Advanced document understanding across 25+ file formats
  • End-to-end solution - From raw data to deployment-ready APIs
  • Structured extraction - Transform documents into actionable structured data
  • Evaluation-driven improvement - Continuous refinement through robust metrics
  • Flexibility and integration - Works with your existing data and AI infrastructure
Discover how Graphor can transform your approach to unstructured data and large language models.

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Getting Started

Ready to harness the power of Graphor? Follow these steps to begin your journey:

Quickstart

Upload documents, extract data, and chat with your content in minutes

RAG Quickstart

Build your first RAG pipeline with Dataset, Chunking, Retrieval, and LLM nodes

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Guides

Dive deeper into Graphor’s core concepts and capabilities:

Data Ingestion

Import documents from multiple sources with state-of-the-art parsing and OCR

Data Extraction

Extract structured data using custom schemas and natural language instructions

Document Chat

Ask questions and get answers grounded in your document content

Chunking

Optimize document segmentation for maximum retrieval relevance

Evaluation

Measure and improve your RAG pipeline performance with metrics

Integrate Workflow

Connect your RAG systems via REST API and MCP Server