📅 2025-07-23 — Session: Resolved ChromaDB data ingestion and persistence issues
🕒 07:10–07:35
🏷️ Labels: Chromadb, Data Ingestion, Debugging, Python, Data Persistence
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to troubleshoot and resolve issues related to data ingestion and persistence in ChromaDB, focusing on vector loading, cache hits, and collection management.
Key Activities
- Troubleshooting Collection Loading: A systematic approach was taken to identify and solve issues with loading vectors and nodes from a ChromaDB collection, including diagnostics and ingestion checks.
- Resolving False-Positive Cache Hits: Addressed a desynchronization issue between SQLite and Chroma that caused false-positive cache hits, offering three solutions to ensure data integrity.
- Ensuring Full Retrieval: Adjusted the
load_vectors_and_nodes(coll)function to retrieve all entries by modifying thecoll.get()method. - Diagnosing Empty Collections: Executed a checklist to diagnose why collections appeared empty despite successful ingestion, identifying mismatched directory paths as a root cause.
- Fixing Persistence Issues: Implemented a flag-controlled wipe mechanism to prevent unintended deletion of collections, ensuring data persistence across script runs.
Achievements
- Successfully identified and resolved multiple issues affecting data ingestion and persistence in ChromaDB.
- Improved the reliability of data retrieval and storage processes in the database.
Pending Tasks
- Further testing is required to ensure all implemented solutions work under different scenarios and data loads.