📅 2025-02-21 — Session: Reset and Rerun FAISS Pipeline
🕒 18:30–19:00
🏷️ Labels: FAISS, Data Pipeline, Embedding, Machine Learning, Search Algorithms
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to reset and rerun the FAISS pipeline to ensure clean data processing and prevent duplicate embeddings.
Key Activities
- Executed a full reset of the FAISS pipeline, including purging old data and verifying deletions.
- Restarted the embedding process and confirmed the integrity of the FAISS index.
- Analyzed FAISS search results for ‘THE STREAM DATA MODEL’, identifying strengths and weaknesses in the search algorithm.
Achievements
- Successfully reset and reran the FAISS pipeline, ensuring clean and accurate data processing.
- Identified areas for improvement in FAISS search results, particularly in ranking relevant results.
Pending Tasks
- Further refine FAISS search algorithms to improve ranking effectiveness.
- Continue monitoring the integrity of the FAISS index post-reset.