refactor: add utility function for converting chroma collection to records

src/backend/base/langflow/base/vectorstores/utils.py

@@ -0,0 +1,24 @@
+from langflow.schema import Record
+
+
+def chroma_collection_to_records(collection_dict: dict):
+    """
+    Converts a collection of chroma vectors into a list of records.
+
+    Args:
+        collection_dict (dict): A dictionary containing the collection of chroma vectors.
+
+    Returns:
+        list: A list of records, where each record represents a document in the collection.
+    """
+    records = []
+    for i, doc in enumerate(collection_dict["documents"]):
+        record_dict = {
+            "id": collection_dict["ids"][i],
+            "document": doc,
+        }
+        if "metadatas" in collection_dict:
+            for key, value in collection_dict["metadatas"][i].items():
+                record_dict[key] = value
+        records.append(Record(**record_dict))
+    return records

src/backend/base/langflow/components/vectorstores/Chroma.py

@@ -6,7 +6,7 @@ from langchain_chroma import Chroma
 from langchain_core.embeddings import Embeddings
 from langchain_core.retrievers import BaseRetriever
 from langchain_core.vectorstores import VectorStore
-
+from langflow.base.vectorstores.utils import chroma_collection_to_records
 from langflow.custom import CustomComponent
 from langflow.schema import Record
 
@@ -121,4 +121,7 @@ class ChromaComponent(CustomComponent):
                 client=client,
                 embedding_function=embedding,
             )
+
+        store = chroma.get()
+        self.status = chroma_collection_to_records(store)
         return chroma