diff --git a/examples/73_Chunking_your_data_for_RAG.ipynb b/examples/73_Chunking_your_data_for_RAG.ipynb
index 75ddf532..71ba3992 100644
--- a/examples/73_Chunking_your_data_for_RAG.ipynb
+++ b/examples/73_Chunking_your_data_for_RAG.ipynb
@@ -40,7 +40,7 @@
     "\n",
     "Let's dive right in and keep this example simple. The next section creates a [Textractor pipeline](https://neuml.github.io/txtai/pipeline/data/textractor/) and an [Embeddings database](https://neuml.github.io/txtai/embeddings/).\n",
     "\n",
-    "The `Textractor` extracts chunks of text from files and the `Embeddings` takes those chunks and builds an index/database. We'll use a [late chunker](https://docs.chonkie.ai/chunkers/late-chunker) backed by [Chonkie](https://github.com/chonkie-ai/chonkie).\n",
+    "The `Textractor` extracts chunks of text from files and the `Embeddings` takes those chunks and builds an index/database. We'll use a [late chunker](https://docs.chonkie.ai/chunkers/late-chunker) backed by [Chonkie](https://github.com/chonkie-inc/chonkie).\n",
     "\n",
     "Then, we'll build an indexing workflow that streams chunks from two files."
    ]
diff --git a/setup.py b/setup.py
index 36d6c063..da50b5d6 100644
--- a/setup.py
+++ b/setup.py
@@ -63,7 +63,7 @@ extras["pipeline-audio"] = [
     "webrtcvad-wheels>=2.0.14",
 ]
 
-extras["pipeline-data"] = ["beautifulsoup4>=4.9.3", "chonkie>=0.4.1", "docling>=2.8.2", "nltk>=3.5", "pandas>=1.1.0", "tika>=1.24"]
+extras["pipeline-data"] = ["beautifulsoup4>=4.9.3", "chonkie>=1.0.2", "docling>=2.8.2", "nltk>=3.5", "pandas>=1.1.0", "tika>=1.24"]
 
 extras["pipeline-image"] = ["imagehash>=4.2.1", "pillow>=7.1.2", "timm>=0.4.12"]