PDF Processing
This guide explains how the PDF processing works in Ollama PDF RAG.
Document Loading
The application uses LangChain's PDF loader to read and process PDF documents. Here's how it works:
- Upload a PDF through the Streamlit interface
- The PDF is loaded and parsed into text
- Text is split into manageable chunks
- Chunks are processed for better context retention
Chunking Strategy
Documents are split using the following parameters:
- Chunk size: 1000 characters (configurable)
- Chunk overlap: 200 characters (configurable)
- Split by: Character
This ensures: - Manageable chunk sizes for the model - Sufficient context overlap - Preservation of document structure
Text Processing
The text processing pipeline includes:
- Extraction: Converting PDF to raw text
- Cleaning: Removing artifacts and formatting
- Splitting: Creating overlapping chunks
- Indexing: Preparing for vector storage
Configuration
You can adjust processing parameters in the application:
Best Practices
- Document Quality
- Use searchable PDFs
- Ensure good scan quality
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Check text extraction quality
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Chunk Size
- Larger for detailed context
- Smaller for precise answers
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Balance based on model capacity
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Memory Management
- Monitor RAM usage
- Adjust chunk size if needed
- Clean up collections regularly