Just finished building my RAG app & deployed it ๐ You can upload a legal PDF (like T&Cs), it generates embeddings, stores them, and then lets you ask questions to get accurate answers straight from the document ๐
๐ Update: My AI Research Agent is now fully full-stack.
What started as an agent experiment is now a complete product.
Frontend. Backend. Real-time.
Hereโs what I built ๐งต๐
Recently started learning Generative AI.
After building a few RAG projects, I explored LangChain and LangGraph and built a Research Agent.
It can automatically search the web, collect information, and generate a research summary.
Thread ๐งต๐
Recently started learning Generative AI.
After building a few RAG projects, I explored LangChain and LangGraph and built a Research Agent.
It can automatically search the web, collect information, and generate a research summary.
Thread ๐งต๐
Most TODO apps break without internet.
Mine doesnโt โก
Built a TODO app that:
โข Works fully offline (IndexedDB)
โข Syncs automatically when back online
โข Installable as a PWA
From a simple CRUD โ something that feels like a real product ๐
Completed my TODO app โ
Code is up on GitHub: https://t.co/psUAcGKj1Q ๐
Built with Hono, Bun, Postgres, Drizzle ORM & Shadcn. Excited to keep improving it! ๐
Still building this further.
Next steps:
โข add a simple UI
โข improve source ranking
โข support streaming responses
Will share the GitHub repo soon once it's ready ๐
Recently started learning Generative AI.
After building a few RAG projects, I explored LangChain and LangGraph and built a Research Agent.
It can automatically search the web, collect information, and generate a research summary.
Thread ๐งต๐