Use chromadb==0.6.3

app.py

@@ -472,7 +472,7 @@ with gr.Blocks(
         """Get multi-turn example questions based on compute mode"""
         questions = [
             "Lookup emails that reference bugs.r-project.org in 2025",
-            "Did those authors report bugs before 2025?",
+            "Did the cited authors report bugs before 2025?",
         ]
 
         if compute_mode == "remote":

data.py

@@ -45,7 +45,9 @@ def download_data():
 
     if not os.path.exists("db.zip"):
         # For S3 (need AWS_ACCESS_KEY_ID and AWS_ACCESS_KEY_SECRET)
-        download_file_from_bucket("r-help-chat", "db_20250801.zip", "db.zip")
+        # db_20250801.zip: chromadb==1.0.13
+        # db_20250801a.zip: chromadb==0.6.3
+        download_file_from_bucket("r-help-chat", "db_20250801a.zip", "db.zip")
         ## For Dropbox (shared file - key is in URL)
         # shared_link = "https://www.dropbox.com/scl/fi/jx90g5lorpgkkyyzeurtc/db.zip?rlkey=wvqa3p9hdy4rmod1r8yf2am09&st=l9tsam56&dl=0"
         # output_filename = "db.zip"

requirements.txt

@@ -1,6 +1,8 @@
 # Pin torch and chroma versions
 torch==2.5.1
-chromadb==1.0.13
+chromadb==0.6.3
+# NOTE: chromadb==1.0.13 was giving intermittent error:
+#   ValueError('Could not connect to tenant default_tenant. Are you sure it exists?')
 
 # Stated requirements:
 #   Gemma 3: transformers>=4.50
@@ -9,6 +11,7 @@ chromadb==1.0.13
 # NOTE: Gemma 3 with transformers==4.54.0 gives:
 #   ValueError: Max cache length is not consistent across layers
 transformers==4.51.3
+tokenizers==0.21.2
 # Required by langchain-huggingface
 sentence-transformers==5.0.0
 # For snapshot_download
@@ -17,7 +20,7 @@ huggingface-hub==0.34.3
 # Langchain packages
 langchain==0.3.26
 langchain-core==0.3.72
-langchain-chroma==0.2.5
+langchain-chroma==0.2.3
 langchain-openai==0.3.27
 langchain-community==0.3.27
 langchain-huggingface==0.3.0

retriever.py

@@ -1,9 +1,9 @@
 # Main retriever modules
 from langchain_text_splitters import RecursiveCharacterTextSplitter
 from langchain_community.document_loaders import TextLoader
+from langchain_chroma import Chroma
 
-# from langchain_chroma import Chroma
-from mods.langchain_chroma import Chroma
+# from mods.langchain_chroma import Chroma
 from langchain.retrievers import ParentDocumentRetriever, EnsembleRetriever
 from langchain_core.documents import Document
 from langchain_core.retrievers import BaseRetriever, RetrieverLike