Document Processing
Advanced document ingestion and processing pipeline for your knowledge bases
Processing Pipeline
Upload
Drag & drop or select files
Extract
Parse text and metadata
Chunk
Smart text segmentation
Embed
Generate embeddings
Store
Index in vector database
Supported Formats
Upload Methods
Batch Upload
Upload multiple files or entire folders at once. The system automatically processes them in parallel for faster ingestion.
Folder Watching
Set up watched folders that automatically import new documents as they're added, perfect for ongoing research projects.
Import Modes
Choose to copy, move, or link documents. Linked documents stay in their original location while being indexed.
Processing Details
Text Extraction
Documents are parsed using specialized extractors for each format. OCR is applied to images and scanned PDFs automatically.
Smart Chunking
Text is intelligently segmented into semantic chunks, preserving context while optimizing for retrieval. Chunk size adapts based on document type.
Embedding Generation
Each chunk is converted to a high-dimensional vector using state-of-the-art embedding models (MiniLM, BGE, or E5).
Vector Indexing
Embeddings are indexed in the vector database with HNSW algorithm for fast similarity search during retrieval.
Metadata Storage
Document metadata, chunk boundaries, and relationships are stored for accurate citation and context preservation.
Configuration Options
Error Handling
Automatic Retry
Failed documents are automatically retried with exponential backoff. The system learns from errors and adjusts processing parameters.
Document Repair
Corrupted or problematic documents can be repaired using built-in recovery tools that attempt to salvage readable content.
Progress Tracking
Real-time progress updates show exactly which documents are being processed, with detailed error messages for any failures.
💡 Pro Tip
For best results, organize your documents into logical folders before importing. The system preserves folder structure and uses it to improve search relevance.