Started diving into AI Agents today β‘
Covered:
π€ Agent basics
π οΈ Tool calling
π§ Memory / conversation history
π Google Search integration (Serper)
Building systems that can search, remember, and actπ
#buildinpublic#genai#aiagents#langchain
Updates on ContextIQ β‘
Core workflow is now fully working:
π User authentication
π PDF upload
π Instant AI-generated summaries
π¬ Context-aware PDF chat (RAG)
Upload β Summary β Chat with your documents π
#buildinpublic#genai#rag#fastapi
Designing ContextIQ β‘
π PDF upload
π Instant AI summaries
π¬ Context-aware document chat (RAG)
π§ Direct LLM fallback beyond document context
Currently building the core architecture before full product launch π
#buildinpublic#genai#rag#ai
Built a Task Manager API with FastAPI β‘
Now fully working with:
π Authentication & protected routes
ποΈ Alembic migrations
π User β Tasks (one-to-many)
π¦ Full CRUD operations
From learning basics β building a real backend system π
#buildinpublic#fastapi#python#backend
Started learning FastAPI today β‘
Building a simple task management API to understand:
β’ Routes & CRUD operations
β’ Pydantic schemas
β’ SQLAlchemy models
β’ Clean folder structure
#buildinpublic#fastapi#python#backend
Built a PDF Chatbot using RAG ππ€
Upload a document and ask questions about it.
β‘ Document β chunks β embeddings
π Retrieval + context injection
π§ LLM generates accurate answers
#buildinpublic#genai#rag#ai
Built a Loan Decision System as part of a hiring challenge β‘
Simulates how MSME loans are evaluated:
π― Credit score
β APPROVED / REJECTED
π Reason codes (explainable decisions)
Full-stack (React + Node + Postgres) with clean decision logic.
#fullstack#nodejs#react
Built my first AI chatbot π€β‘
AskBuddy β a simple chatbot built using LangChain.
β Prompt β LLM β response flow
β Basic chat interaction
β Clean UI
Feels great to move from learning β building π
#buildinpublic#genai#langchain