Built intelligent chatbot systems using LangChain and LLM APIs (OpenAI, Anthropic, DeepSeek) for various client applications. Implemented conversation memory, context management, and multi-turn dialogue systems. Deployed scalable chatbot solutions with FastAPI backends and React frontends.
Core Features
- Multi-turn conversational AI with context retention across sessions
- Integration with multiple LLM providers (OpenAI, Anthropic, DeepSeek, Qwen)
- Conversation memory management with short-term and long-term storage
- Custom prompt templates for domain-specific responses
- Function calling for tool use and external API integration
- Streaming responses for real-time user experience
- Rate limiting and cost optimization strategies
Technical Architecture
- LangChain for conversation orchestration and memory management
- FastAPI backend with WebSocket support for real-time chat
- React frontend with chat UI components
- Redis for session management and caching
- PostgreSQL for conversation history persistence
- Docker deployment with horizontal scaling capabilities
Tech Stack
Python
LangChain
LangGraph
OpenAI API
Anthropic Claude
FastAPI
WebSockets
React
Redis
PostgreSQL
Deployed Applications
- Customer support chatbot handling 500+ daily conversations
- Sales assistant chatbot with product recommendation engine
- Internal knowledge base chatbot for employee onboarding
- Educational tutoring chatbot with personalized learning paths
- Achieved 85%+ user satisfaction across deployed systems