Dear Sir,
I am writing to express my interest in the "BanyanDB NL2Query Intelligent
Agent" project under Apache SkyWalking for GSoC 2026.
I am currently a second-year undergraduate at IIT Kanpur and a research
intern at the Indian Institute of Science (IISc), Bangalore, under Professor
Amaresh Chakrabarti, working on "Agentic AI for Design by Analogy Idea
Retrieval". In this role, I am building a dual RAG pipeline using LangChain
with schema-aware prompting and multi-level query interpretation -- mapping
directly onto your project's goal of schema-aware RAG prompting to translate
natural language into BydbQL. My experience with NL2SQL techniques, LLM APIs,
and LangChain/LangGraph makes me well-suited to contribute to this project.
I am particularly excited about implementing the schema-aware prompting
mechanism by extracting BanyanDB metadata (Groups, Streams, Measures, Tag
Families) into the LLM context, adapting NL2SQL techniques to BydbQL's
specific constraints, and building the CLI chat interface via the --ask flag
in bydbctl. I would love to discuss my ideas further, particularly if no
contributor has been assigned to this project yet.
Please find my resume and internship problem statement attached for your
reference.
Thank you for your time and consideration.
Sincerely,
ASHIK E
[email protected]
