📅 2025-05-27 — Session: Analyzed and Enhanced RAG Pipeline for Contact Management
🕒 03:30–04:00
🏷️ Labels: RAG, Retrieval, Contact Management, Automation, Prompt Engineering
📂 Project: CRM
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze and enhance the Retrieval-Augmented Generation (RAG) pipeline for contact management queries, focusing on improving retrieval quality and prompt engineering.
Key Activities
- Analyzed the failure in the RAG pipeline for contact management queries, identifying issues in answer generation, retrieval quality, and prompt structure.
- Developed strategies for crafting retriever-friendly queries, emphasizing specific keywords and temporal anchors to enhance retrieval performance.
- Proposed the ‘Retriever-Bait Paragraph Strategy’ to improve retrieval performance using longer paragraphs and elaborate queries.
- Analyzed a successful retrieval phase, highlighting strong lexical overlap and temporal grounding, and suggested improvements.
- Outlined a systematic RAG-driven recovery plan to address unfinished projects using specific retriever prompts and post-processing strategies.
Achievements
- Identified key problems in the RAG pipeline and proposed actionable strategies to address them.
- Developed templates and strategies for query optimization and retrieval enhancement.
Pending Tasks
- Implement the proposed strategies and templates to test their effectiveness in real-world scenarios.
- Further explore the integration of fuzzy matching techniques to enhance retrieval quality.