Merge remote-tracking branch 'origin/main' into mao1/code_equation_model

Signed-off-by: Michele Dolfi <dol@zurich.ibm.com>

.github/workflows/docs.yml

@@ -14,7 +14,10 @@ jobs:
         - uses: ./.github/actions/setup-poetry
         - name: Build docs
           run: poetry run mkdocs build --verbose --clean
+        - name: Make docs LLM ready
+          if: inputs.deploy
+          uses: demodrive-ai/llms-txt-action@ad720693843126e6a73910a667d0eba37c1dea4b
         - name: Build and push docs
           if: inputs.deploy
-          run: poetry run mkdocs gh-deploy --force
+          run: poetry run mkdocs gh-deploy --force --dirty
  

docs/concepts/chunking.md

@@ -54,12 +54,12 @@ tokens), &
 chunks with same headings & captions) — users can opt out of this step via param
 `merge_peers` (by default `True`)
 
-👉 Example: see  [here](../../examples/hybrid_chunking).
+👉 Example: see  [here](../examples/hybrid_chunking.ipynb).
 
 ## Hierarchical Chunker
 
 The `HierarchicalChunker` implementation uses the document structure information from
-the [`DoclingDocument`](../docling_document) to create one chunk for each individual
+the [`DoclingDocument`](./docling_document.md) to create one chunk for each individual
 detected document element, by default only merging together list items (can be opted out
 via param `merge_list_items`). It also takes care of attaching all relevant document
 metadata, including headers and captions.

docs/examples/custom_convert.py

@@ -5,7 +5,11 @@ from pathlib import Path
 
 from docling.backend.pypdfium2_backend import PyPdfiumDocumentBackend
 from docling.datamodel.base_models import InputFormat
-from docling.datamodel.pipeline_options import PdfPipelineOptions
+from docling.datamodel.pipeline_options import (
+    AcceleratorDevice,
+    AcceleratorOptions,
+    PdfPipelineOptions,
+)
 from docling.document_converter import DocumentConverter, PdfFormatOption
 from docling.models.ocr_mac_model import OcrMacOptions
 from docling.models.tesseract_ocr_cli_model import TesseractCliOcrOptions
@@ -76,7 +80,7 @@ def main():
     pipeline_options.table_structure_options.do_cell_matching = True
     pipeline_options.ocr_options.lang = ["es"]
     pipeline_options.accelerator_options = AcceleratorOptions(
-        num_threads=4, device=Device.AUTO
+        num_threads=4, device=AcceleratorDevice.AUTO
     )
 
     doc_converter = DocumentConverter(

docs/v2.md

@@ -95,8 +95,8 @@ doc_converter = (
 
 More options are shown in the following example units:
 
-- [run_with_formats.py](../examples/run_with_formats/)
-- [custom_convert.py](../examples/custom_convert/)
+- [run_with_formats.py](examples/run_with_formats.py)
+- [custom_convert.py](examples/custom_convert.py)
 
 ### Converting documents
 
@@ -226,4 +226,4 @@ leverages the new `DoclingDocument` and provides a new, richer chunk output form
 - any applicable headings for context
 - any applicable captions for context
 
-For an example, check out [Chunking usage](../usage/#chunking).
+For an example, check out [Chunking usage](usage.md#chunking).

pyproject.toml

@@ -29,7 +29,7 @@ pydantic = "^2.0.0"
 docling-core = { version = "^2.14.0", extras = ["chunking"] }
 docling-ibm-models = "^3.1.0"
 deepsearch-glm = "^1.0.0"
-docling-parse = "^3.0.0"
+docling-parse = "^3.1.0"
 filetype = "^1.2.0"
 pypdfium2 = "^4.30.0"
 pydantic-settings = "^2.3.0"