📅 2025-07-23 — Session: Debugged Data Ingestion and Persistence in ChromaDB
🕒 07:10–07:35
🏷️ Labels: Chromadb, Python, Data Ingestion, Debugging, Persistence
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary aim of this session was to troubleshoot and resolve issues related to data ingestion and persistence in ChromaDB using Python.
Key Activities
- Troubleshooting Empty Vectors and Nodes: Implemented a systematic approach to diagnose and fix the issue of empty vectors and nodes returned from
load_vectors_and_nodes(coll)function. - Resolving False-Positive Cache Hits: Addressed the problem of false-positive cache hits during data ingestion, ensuring correct processing of files and saving of vectors.
- Ensuring Full Data Retrieval: Developed a Python function to adjust retrieval limits for complete data loading from ChromaDB collections.
- Diagnosing Empty Collection: Executed a checklist to diagnose zero count issues in Chroma collections, identifying potential data addition problems.
- Fixing Directory and Collection Name Issues: Identified and resolved mismatches in directory and collection names causing empty databases on rerun.
- Debugging Persistent Collection Loading: Analyzed and fixed code issues related to the deletion of Chroma collection directories, ensuring data persistence.
Achievements
- Successfully debugged and resolved multiple issues related to data ingestion and persistence in ChromaDB.
- Implemented fixes for cache hit mismatches and ensured full data retrieval.
Pending Tasks
- Further testing of the implemented solutions to ensure robustness across different datasets and scenarios.