131 lines
3.3 KiB
Markdown
131 lines
3.3 KiB
Markdown
# Remote Processing
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`haiku.rag` can use [docling-serve](https://github.com/docling-project/docling-serve) for remote document processing and chunking, offloading resource-intensive operations to a dedicated service.
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## Overview
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docling-serve is a REST API service that provides:
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- Document conversion (PDF, DOCX, PPTX, images, etc.)
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- Intelligent chunking with structure preservation
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- OCR capabilities for scanned documents
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- Table and figure extraction
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## When to Use docling-serve
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**Use local processing (default) when:**
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- Working with small to medium document volumes
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- Running on development machines
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- Want zero external dependencies
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- Processing simple document formats
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**Use docling-serve when:**
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- Processing large volumes of documents
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- Working with complex PDFs requiring OCR
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- Running in production environments
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- Want to separate compute-intensive tasks
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- Need to scale document processing independently
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## Setup
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### Running docling-serve
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See the [official docling-serve repository](https://github.com/docling-project/docling-serve) for installation options. The quickest way is using Docker:
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```bash
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docker run -p 5001:5001 -e DOCLING_SERVE_ENABLE_UI=1 quay.io/docling-project/docling-serve
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```
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### Configuration
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Configure haiku.rag to use docling-serve. See the [Document Processing section in Configuration](configuration.md#document-processing) for all available options.
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```yaml
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# haiku.rag.yaml
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processing:
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converter: docling-serve # Use remote conversion
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chunker: docling-serve # Use remote chunking
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providers:
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docling_serve:
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base_url: http://localhost:5001
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api_key: "" # Optional API key for authentication
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timeout: 300 # Request timeout in seconds
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```
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## Features
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### Remote Document Conversion
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When `converter: docling-serve` is configured, documents are sent to the docling-serve API for conversion:
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```python
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from haiku.rag.client import HaikuRAG
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async with HaikuRAG() as client:
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# PDF is processed by docling-serve
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doc = await client.create_document_from_file("complex.pdf")
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```
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### Remote Chunking
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When `chunker: docling-serve` is configured, chunking is performed remotely:
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```yaml
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processing:
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chunker: docling-serve
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chunker_type: hybrid # or hierarchical
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chunk_size: 256
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chunking_tokenizer: "Qwen/Qwen3-Embedding-0.6B"
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chunking_merge_peers: true
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chunking_use_markdown_tables: false
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```
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## Advanced Configuration
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### Custom Tokenizers
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You can use any HuggingFace tokenizer model:
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```yaml
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processing:
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chunking_tokenizer: "bert-base-uncased" # Or any HF model
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```
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### Chunking Strategies
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**Hybrid Chunking** (default):
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- Best for most documents
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- Preserves semantic boundaries
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- Structure-aware splitting
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**Hierarchical Chunking**:
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- Maintains document hierarchy
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- Better for deeply nested documents
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- Preserves parent-child relationships
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```yaml
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processing:
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chunker_type: hierarchical
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```
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### Table Handling
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Control how tables are represented:
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```yaml
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processing:
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chunking_use_markdown_tables: true # Preserve table structure
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```
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- `false` (default): Tables as narrative text
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- `true`: Tables as markdown format
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## Resources
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- [docling-serve GitHub](https://github.com/docling-project/docling-serve)
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- [docling-serve Documentation](https://github.com/docling-project/docling-serve#readme)
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