Dear @visakh and Tom,
I hope you’re doing well. I’m writing to express my strong interest in the GSoC 2025 project: “Build an AI Agent for KnowledgeSpace using RAG.”
Thank you for the recent update clarifying that the RAG backend is already underway. I’m genuinely excited to hear that! Based on your guidance, I’ve begun exploring the development of a chat interface with conversational memory, which will integrate with the existing RAG system and enhance KnowledgeSpace’s usability.
Over the past few days, I’ve:
- Researched and experimented with frontend chat UIs using React
- Explored how conversational memory can be built using LangChain concepts (e.g., buffer memory and context windows)
- Studied how vector stores and graph databases like Neo4j might support long-term memory or structured metadata retrieval
I understand that metadata across datasets is not standardized, and I see the huge potential of using LLMs to bridge this gap by providing accurate, contextual answers through a conversational experience. I’m also beginning to experiment with model deployment on Vertex AI, as mentioned in the project scope.
Attached is a mockup that showcases my early thoughts and interface concept. I’d love your feedback and would be happy to iterate or prototype further based on your suggestions.
Understanding Metadata Structure in KnowledgeSpace To effectively enable contextual responses and relevant dataset retrieval in the AI agent, I studied the existing metadata structuring pipeline. The diagram below outlines how dataset provenance, measurement device data, and results are formalized using OWL ontologies and stored in an ontology repository. My proposed conversational UI will interface with this layer to provide accurate, ontology-powered search and interaction.
I’m currently drafting my full GSoC proposal and would be honored to collaborate on this project under your mentorship.
Looking forward to hearing from you!
Warm regards,
@Gajendra_Thakur
GitHub: Gajendra9679 (Gajendra Thakur ) · GitHub
LinkedIn: https://www.linkedin.com/in/gajendrathakur/
University: Savitribai Phule Pune University (B.E.- Artificial Intelligence & Data Science)
Email: gajendrathakur1031@gmail.com
