Add Chonkie Integration Information to Chroma Docs

docs/docs.trychroma.com/markdoc/content/integrations/chroma-integrations.md

@@ -37,6 +37,7 @@ We welcome pull requests to add new Integrations to the community.
 
 |                                         | Python | JS           |
 | --------------------------------------- | ------ | ------------ |
+| [Chonkie](./frameworks/chonkie)        | ✓      | Coming Soon! |
 | [DeepEval](./frameworks/deepeval)       | ✓      | -            |
 | [Langchain](./frameworks/langchain)     | ✓      | ✓            |
 | [LlamaIndex](./frameworks/llamaindex)   | ✓      | ✓            |

docs/docs.trychroma.com/markdoc/content/integrations/frameworks/chonkie.md

@@ -0,0 +1,78 @@
+---
+id: chonkie
+name: Chonkie
+---
+
+# Chonkie
+[Chonkie](https://docs.chonkie.ai) is an open source library for data ingestion. 
+Chonkie provides advanced chunkers for cleanly splitting your data and embedding handlers to embed the resulting chunks.
+
+When building a RAG system, you can use Chonkie to chunk and embed your data, and then store the chunks in Chroma using the Chroma handshake.
+
+{% Banner type="tip" %}
+For more information on how to use Chonkie, see the [Chonkie Docs](https://docs.chonkie.ai)
+{% /Banner %}
+
+
+# Chonkie Chroma Handshake
+
+Chonkie provides a Chroma handshake that can be used to embed and insert chunks into a Chroma collection.
+
+## Prerequisites
+
+Install Chonkie with Chroma dependencies:
+```bash
+pip install "chonkie[chroma]"
+```
+
+## Usage
+
+### Chunking With Chonkie
+```python
+from chonkie import SemanticChunker
+
+text = "Chonkie and Chroma - Best Friends For Life!"
+chunker = SemanticChunker() # See docs.chonkie.ai for more information on chunkers
+
+# Chunk your data
+chunks = chunker(text)
+```
+
+### Initialize Chroma Handshake
+```python
+from chonkie import ChromaHandshake
+
+# Initialize with default settings (in-memory ChromaDB)
+handshake = ChromaHandshake()
+
+# Or specify a persistent storage path
+handshake = ChromaHandshake(path="./chroma_db")
+
+# Or use an existing Chroma client
+import chromadb
+client = chromadb.Client()
+handshake = ChromaHandshake(client=client, collection_name="my_collection")
+
+# Feature: Select embedding model to use
+handshake = ChromaHandshake(embedding_model="text-embedding-ada-002")
+```
+
+### Writing Chunks to Chroma
+```python
+from chonkie import ChromaHandshake, SemanticChunker
+
+handshake = ChromaHandshake() # Initializes a new Chroma client
+
+text = "Chonkie and Chroma - Best Friends For Life!"
+chunker = SemanticChunker()
+chunks = chunker(text)
+
+handshake.write(chunks)
+```
+
+## Resources
+
+- [Chonkie Documentation](https://docs.chonkie.ai)
+- [Chonkie Chroma Handshake Documentation](https://docs.chonkie.ai/python-sdk/handshakes/chroma-handshake)
+- [Chonkie Discord](https://discord.gg/6V5pqvqsCY)
+