Week 3 Updates
Accomplishments
- Finalized and optimized the core RAG (Retrieval-Augmented Generation) system.
- Enhanced the chunking strategy to improve retrieval accuracy.
- Improved metadata handling to support the display of links or images as references.
- Conducted testing to ensure system stability and performance.
- Started evaluating the Qwen3:1.7B model for query response accuracy.
- Created a thread to collect a variety of prompts for broader chatbot testing.
Blockers
- Uncertainty about whether the BeagleBoard edge AI framework supports running the Qwen3:1.7B LLM architecture.
Next Week Objectives
- Save the vectorstore collection online
- Dockerize the project
- Start developing the CLI and web app interfaces for the chatbot.
- Discuss implementation details and system integration with mentors.
- Explore fallback options if needed.
Additional Notes
- Current work is available in this repository: BeagleMind-RAG-PoC
- Plan to create the official OpenBeagle repository right after the Saturday meeting, once the MVP scope is further clarified.
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