docs: document new integrations (#532)

Signed-off-by: Panos Vagenas <[email protected]>

docs/integrations/bee.md

@@ -1,7 +1,7 @@
 Docling is available as an extraction backend in the [Bee][github] framework.
 
 - 💻 [Bee GitHub][github]
-- 📖 [Bee Docs][docs]
+- 📖 [Bee docs][docs]
 - 📦 [Bee NPM][package]
 
 [github]: https://github.com/i-am-bee

docs/integrations/cloudera.md

@@ -0,0 +1,6 @@
+Docling is available in [Cloudera](https://www.cloudera.com/) through the *RAG Studio*
+Accelerator for Machine Learning Projects (AMP).
+
+- 💻 [RAG Studio AMP GitHub][github]
+
+[github]: https://github.com/cloudera/CML_AMP_RAG_Studio

docs/integrations/data_prep_kit.md

@@ -1,13 +1,10 @@
-## Get started
-
 Docling is used by the [Data Prep Kit](https://ibm.github.io/data-prep-kit/) open-source toolkit for preparing unstructured data for LLM application development ranging from laptop scale to datacenter scale.
 
-Below you find the Data Prep Kit modules powered by Docling.
-
-## PDF ingestion to Parquet
+## Components
+### PDF ingestion to Parquet
 - 💻 [PDF-to-Parquet GitHub](https://github.com/IBM/data-prep-kit/tree/dev/transforms/language/pdf2parquet)
-- 📖 [PDF-to-Parquet Docs](https://ibm.github.io/data-prep-kit/transforms/language/pdf2parquet/python/)
+- 📖 [PDF-to-Parquet docs](https://ibm.github.io/data-prep-kit/transforms/language/pdf2parquet/python/)
 
-## Document chunking
+### Document chunking
 - 💻 [Doc Chunking GitHub](https://github.com/IBM/data-prep-kit/tree/dev/transforms/language/doc_chunk)
-- 📖 [Doc Chunking Docs](https://ibm.github.io/data-prep-kit/transforms/language/doc_chunk/python/)
+- 📖 [Doc Chunking docs](https://ibm.github.io/data-prep-kit/transforms/language/doc_chunk/python/)

docs/integrations/docetl.md

@@ -1,7 +1,7 @@
 Docling is available as a file conversion method in [DocETL](https://github.com/ucbepic/docetl):
 
 - 💻 [DocETL GitHub][github]
-- 📖 [DocETL Docs][docs]
+- 📖 [DocETL docs][docs]
 - 📦 [DocETL PyPI][pypi]
 
 [github]: https://github.com/ucbepic/docetl

docs/integrations/instructlab.md

@@ -1,14 +1,13 @@
-Docling is powering document processing in [InstructLab](https://instructlab.ai/),
+Docling is powering document processing in [InstructLab][home],
 enabling users to unlock the knowledge hidden in documents and present it to
 InstructLab's fine-tuning for aligning AI models to the user's specific data.
 
 More details can be found in this [blog post][blog].
 
-- 🏠 [InstructLab Home][home]
+- 🏠 [InstructLab home][home]
 - 💻 [InstructLab GitHub][github]
 - 🧑🏻‍💻 [InstructLab UI][ui]
-- 📖 [InstructLab Docs][docs]
-<!-- - 📝 [Blog post]() -->
+- 📖 [InstructLab docs][docs]
 
 [home]: https://instructlab.ai
 [github]: https://github.com/instructlab

docs/integrations/kotaemon.md

@@ -1,8 +1,8 @@
 Docling is available in [Kotaemon](https://cinnamon.github.io/kotaemon/) as the `DoclingReader` loader:
 
 - 💻 [Kotaemon GitHub][github]
-- 📖 [DoclingReader Docs][docs]
-- ⚙️ [Docling Setup in Kotaemon][setup]
+- 📖 [DoclingReader docs][docs]
+- ⚙️ [Docling setup in Kotaemon][setup]
 
 [github]: https://github.com/Cinnamon/kotaemon
 [docs]: https://cinnamon.github.io/kotaemon/reference/loaders/docling_loader/

docs/integrations/llamaindex.md

@@ -1,5 +1,3 @@
-## Get started
-
 Docling is available as an official [LlamaIndex](https://docs.llamaindex.ai/) extension.
 
 To get started, check out the [step-by-step guide in LlamaIndex](https://docs.llamaindex.ai/en/stable/examples/data_connectors/DoclingReaderDemo/).
@@ -11,13 +9,13 @@ To get started, check out the [step-by-step guide in LlamaIndex](https://docs.ll
 Reads document files and uses Docling to populate LlamaIndex `Document` objects — either serializing Docling's data model (losslessly, e.g. as JSON) or exporting to a simplified format (lossily, e.g. as Markdown).
 
 - 💻 [Docling Reader GitHub](https://github.com/run-llama/llama_index/tree/main/llama-index-integrations/readers/llama-index-readers-docling)
-- 📖 [Docling Reader Docs](https://docs.llamaindex.ai/en/stable/api_reference/readers/docling/)
+- 📖 [Docling Reader docs](https://docs.llamaindex.ai/en/stable/api_reference/readers/docling/)
 - 📦 [Docling Reader PyPI](https://pypi.org/project/llama-index-readers-docling/)
 
 ### Docling Node Parser
 
 Reads LlamaIndex `Document` objects populated in Docling's format by Docling Reader and, using its knowledge of the Docling format, parses them to LlamaIndex `Node` objects for downstream usage in LlamaIndex applications, e.g. as chunks for embedding.
 
 - 💻 [Docling Node Parser GitHub](https://github.com/run-llama/llama_index/tree/main/llama-index-integrations/node_parser/llama-index-node-parser-docling)
-- 📖 [Docling Node Parser Docs](https://docs.llamaindex.ai/en/stable/api_reference/node_parser/docling/)
+- 📖 [Docling Node Parser docs](https://docs.llamaindex.ai/en/stable/api_reference/node_parser/docling/)
 - 📦 [Docling Node Parser PyPI](https://pypi.org/project/llama-index-node-parser-docling/)

docs/integrations/prodigy.md

@@ -1,9 +1,12 @@
 Docling is available in [Prodigy][home] as a [Prodigy-PDF plugin][plugin] recipe.
 
-- 🌐 [Prodigy Home][home]
-- 🔌 [Prodigy-PDF Plugin][plugin]
-- 🧑🏽‍🍳 [pdf-spans.manual Recipe][recipe]
+More details can be found in this [blog post][blog].
+
+- 🌐 [Prodigy home][home]
+- 🔌 [Prodigy-PDF plugin][plugin]
+- 🧑🏽‍🍳 [pdf-spans.manual recipe][recipe]
 
 [home]: https://prodi.gy/
 [plugin]: https://prodi.gy/docs/plugins#pdf
 [recipe]: https://prodi.gy/docs/plugins#pdf-spans.manual
+[blog]: https://explosion.ai/blog/pdfs-nlp-structured-data

docs/integrations/rhel_ai.md

@@ -0,0 +1,10 @@
+Docling is powering document processing in [Red Hat Enterprise Linux AI][home] (RHEL AI),
+enabling users to unlock the knowledge hidden in documents and present it to
+InstructLab's fine-tuning for aligning AI models to the user's specific data.
+
+More details can be found in this [blog post][blog].
+
+- 🏠 [RHEL AI home][home]
+
+[home]: https://www.redhat.com/en/technologies/linux-platforms/enterprise-linux/ai
+[blog]: https://www.redhat.com/en/blog/docling-missing-document-processing-companion-generative-ai

docs/integrations/spacy.md

@@ -1,11 +1,12 @@
-# spaCy
+Docling is available in [spaCy](https://spacy.io/) as the *spaCy Layout* plugin.
 
-Docling is available in [spaCy](https://spacy.io/) as the "SpaCy Layout" plugin:
+More details can be found in this [blog post][blog].
 
 - 💻 [SpacyLayout GitHub][github]
-- 📖 [SpacyLayout Docs][docs]
+- 📖 [SpacyLayout docs][docs]
 - 📦 [SpacyLayout PyPI][pypi]
 
 [github]: https://github.com/explosion/spacy-layout
 [docs]: https://github.com/explosion/spacy-layout?tab=readme-ov-file#readme
 [pypi]: https://pypi.org/project/spacy-layout/
+[blog]: https://explosion.ai/blog/pdfs-nlp-structured-data

docs/integrations/txtai.md

@@ -0,0 +1,9 @@
+Docling is available as a text extraction backend for [txtai](https://neuml.github.io/txtai/).
+
+- 💻 [txtai GitHub][github]
+- 📖 [txtai docs][docs]
+- 📖 [txtai Docling backend][integration_docs]
+
+[github]: https://github.com/neuml/txtai
+[docs]: https://neuml.github.io/txtai
+[integration_docs]: https://neuml.github.io/txtai/pipeline/data/filetohtml/#docling

mkdocs.yml

@@ -87,13 +87,16 @@ nav:
   - Integrations:
     - Integrations: integrations/index.md
     - "🐝 Bee": integrations/bee.md
+    - "Cloudera": integrations/cloudera.md
     - "Data Prep Kit": integrations/data_prep_kit.md
     - "DocETL": integrations/docetl.md
     - "🐶 InstructLab": integrations/instructlab.md
     - "Kotaemon": integrations/kotaemon.md
     - "🦙 LlamaIndex": integrations/llamaindex.md
     - "Prodigy": integrations/prodigy.md
+    - "Red Hat Enterprise Linux AI": integrations/rhel_ai.md
     - "spaCy": integrations/spacy.md
+    - "txtai": integrations/txtai.md
     # - "LangChain 🦜🔗": integrations/langchain.md
   - API reference:
     - Document Converter: api_reference/document_converter.md