SmartQuery AI Agent
A full-stack AI chatbot in Django delivering context-aware conversations through LangChain, the Gemini API and RAG over a custom knowledge base. Includes session memory, Google and GitHub authentication, dynamic tool use, and integrated web, GitHub and LinkedIn search tools. Source is public.
Screens from the build
The challenge
A full-stack AI chatbot in Django delivering context-aware conversations through LangChain, the Gemini API and RAG over a custom knowledge base. Includes session memory, Google and GitHub authentication, dynamic tool use, and integrated web, GitHub and LinkedIn search tools. Source is public.
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Technology stack
Technologies that powered this project.
Frontend
Backend
Database & Tools
Development process
Our proven methodology for delivering exceptional results.
Discovery & Planning
Understanding requirements, analyzing scope, and creating a detailed roadmap
1-2 weeks
Design & Architecture
System architecture, UI/UX designs, and technical specifications
2-3 weeks
Development & Testing
Agile development with continuous testing, code reviews, and QA
4-8 weeks
Deployment & Launch
Production deployment, performance optimization, and go-live support
1 week
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