docs: showcase RAG with LlamaIndex and LangChain

.pre-commit-config.yaml

@@ -2,39 +2,43 @@ fail_fast: true
 repos:
   - repo: local
     hooks:
-      - id: system
+      - id: black
         name: Black
         entry: poetry run black docling examples tests
         pass_filenames: false
         language: system
         files: '\.py$'
-  - repo: local
-    hooks:
-      - id: system
+      - id: isort
         name: isort
         entry: poetry run isort docling examples tests
         pass_filenames: false
         language: system
         files: '\.py$'
-#  - repo: local
-#    hooks:
-#      - id: system
+#      - id: flake8
 #        name: flake8
 #        entry: poetry run flake8 docling
 #        pass_filenames: false
 #        language: system
 #        files: '\.py$'
-#  - repo: local
-#    hooks:
-#     - id: system
+#     - id: mypy
 #       name: MyPy
 #       entry: poetry run mypy docling
 #       pass_filenames: false
 #       language: system
 #       files: '\.py$'
-  - repo: local
-    hooks:
-      - id: system
+      - id: nbqa_black
+        name: nbQA Black
+        entry: poetry run nbqa black examples
+        pass_filenames: false
+        language: system
+        files: '\.ipynb$'
+      - id: nbqa_isort
+        name: nbQA isort
+        entry: poetry run nbqa isort examples
+        pass_filenames: false
+        language: system
+        files: '\.ipynb$'
+      - id: poetry
         name: Poetry check
         entry: poetry check --lock
         pass_filenames: false

README.md

@@ -23,8 +23,7 @@ Docling bundles PDF document conversion to JSON and Markdown in an easy, self-co
 * 📑 Understands detailed page layout, reading order and recovers table structures
 * 📝 Extracts metadata from the document, such as title, authors, references and language
 * 🔍 Optionally applies OCR (use with scanned PDFs)
-
-For RAG, check out [Quackling](https://github.com/DS4SD/quackling) to get the most out of your docs, be it using LlamaIndex, LangChain or your pipeline.
+* 🤖 Integrates easily with LLM app / RAG frameworks like 🦙 LlamaIndex and 🦜🔗 LangChain
 
 ## Installation
 
@@ -143,6 +142,10 @@ results = doc_converter.convert(conv_input)
 
 You can limit the CPU threads used by Docling by setting the environment variable `OMP_NUM_THREADS` accordingly. The default setting is using 4 CPU threads.
 
+### RAG
+Check out the following examples showcasing RAG using Docling with standard LLM application frameworks:
+- [Basic RAG pipeline with 🦙 LlamaIndex](https://github.com/DS4SD/docling/tree/main/examples/rag_llamaindex.ipynb)
+- [Basic RAG pipeline with 🦜🔗 LangChain](https://github.com/DS4SD/docling/tree/main/examples/rag_langchain.ipynb)
 
 ## Technical report