π€ B9AI Intelligent Chatbot System
An enterprise-grade AI communication platform built with FastAPI backend, LangChain & LangGraph for advanced AI orchestration, plugin-based agent architecture, MongoDB learning engine, Cosmos DB vector database for semantic search and RAG, and Next.js frontend. Designed for businesses, e-commerce, POS systems, agency ERPs, helpdesk automation, customer support, and knowledge-base automation.
System Architecture
Project Structure
chatbot_server/ βββ main.py # FastAPI entry point βββ database.py # MongoDB connection βββ requirements.txt β βββ routers/ β βββ chat_router.py # REST API endpoints β βββ services/ β βββ ai_service.py # AI orchestrator β βββ agent_manager.py # Agent loader β βββ learning_service.py # Pattern learning β βββ agents/ β βββ base_agent.py β βββ agent_registry.py β βββ database_agent.py β βββ web_search_agent.py β βββ models/ # Database schemas βββ schemas/ # Pydantic models βββ chatbot-app/ # Next.js frontend
FastAPI Backend
Ultra-fast asynchronous Python API engine with high concurrency support
Python AI Engine
Advanced AI processing with LLM integration and natural language understanding
LangChain Integration
LangChain framework for building LLM-powered applications with chains and agents
LangGraph Integration
LangGraph for building stateful, multi-agent applications with graph-based workflows
Plugin-Based Agents
Modular agent system with dynamic plugin loading and registry pattern
MongoDB Learning Storage
Persistent pattern learning and conversational memory storage
Cosmos DB Vector Database
Azure Cosmos DB for vector embeddings, semantic search, and RAG (Retrieval-Augmented Generation)
Next.js 15 Frontend
Modern React-based chat UI with real-time messaging and streaming
AI Orchestration Layer
Intelligent query routing and multi-agent coordination system
Cloud-Distributed Deployment
Scalable cloud infrastructure with auto-scaling capabilities
Docker Support
Containerized deployment for consistent environments
Kubernetes Compatible
Container orchestration for auto-scaling and management
Kafka Integration
Real-time event streaming and message queuing
AI Orchestration System
Powered by LangChain for chain-based workflows and LangGraph for stateful multi-agent orchestration.
AI Service Pipeline
Input Understanding
Natural language processing and intent detection
Agent Selection
Intelligent routing to appropriate specialized agent
LLM Processing
Advanced language model response generation
Pattern Learning
Store conversational patterns for future improvement
Response Dispatch
Deliver optimized response to user interface
Multi-Agent System
Web Search Agent
Real-time web search capabilities for up-to-date information retrieval
Database Agent
Query and interact with your business databases intelligently
POS Agent
Point-of-sale system integration and transaction handling
ERP Agent
Enterprise resource planning system integration and automation
Custom Business Agents
Extensible framework for custom business logic agents
β¨ Agents can be added without modifying the core system - fully extensible plugin architecture.
LangChain & LangGraph Integration
LangChain
Powerful framework for building LLM-powered applications with chains, agents, and memory.
- Chain-based LLM workflows
- Agent framework for tool use
- Memory management (conversational & vector)
- Prompt templates & optimization
- Document loaders & text splitters
- RAG with Cosmos DB vector search
LangGraph
Build stateful, multi-agent applications with graph-based workflows and complex reasoning.
- Stateful agent workflows
- Graph-based agent orchestration
- Multi-agent coordination
- Conditional routing & loops
- Checkpointing & persistence
- Human-in-the-loop support
Advanced AI Capabilities: Our chatbot leverages LangChain for building sophisticated LLM chains and agents, while LangGraph enables complex multi-agent workflows with stateful reasoning. This combination provides enterprise-grade AI orchestration for handling complex business scenarios.
Cosmos DB Vector Database
Azure Cosmos DB provides enterprise-grade vector database capabilities for semantic search, similarity matching, and Retrieval-Augmented Generation (RAG) workflows.
Vector Embeddings Storage
Store high-dimensional vector embeddings for documents, conversations, and knowledge base
Semantic Search
Fast similarity search using cosine similarity and other distance metrics
RAG Integration
Retrieval-Augmented Generation for context-aware responses using vector search
High Performance
Sub-millisecond query latency with global distribution and auto-scaling
Enterprise Security
Azure-grade security with encryption at rest and in transit
Global Distribution
Multi-region deployment for low-latency access worldwide
Vector Search & RAG: Cosmos DB enables powerful semantic search capabilities, allowing the chatbot to retrieve relevant context from your knowledge base using vector similarity. Combined with LangChain's RAG framework, this provides accurate, context-aware responses based on your business documents and data.
Learning Engine
Pattern Storage
Stores common queries and conversational patterns in MongoDB
Pattern Identification
Identifies repeated patterns and user intent clusters
Response Improvement
Continuously improves responses based on learned patterns
MongoDB Memory
Persistent memory storage for long-term learning
Query Clustering
Groups similar queries for efficient response matching
Smart Reranking
Intelligently ranks responses based on context and history
API Endpoints
/chat/sendSend message to chatbot and receive AI-powered response
/chat/history/{session_id}Retrieve complete conversation history for a session
/chat/learnStore new conversational patterns for AI learning
/chat/agentsList all available plugin-based agents
/chat/sessionsGet all active chat sessions
/chat/streamStream responses in real-time for better UX
π API-Based System: Integrate our chatbot into any system via RESTful API. Subscription-based access starting at $20/month.
Enterprise-Grade Security
JWT Authentication
Secure token-based authentication with automatic token rotation
Encrypted MongoDB Storage
Data encryption at rest and in transit for all conversations
CORS Protection
Configured CORS policies for secure cross-origin requests
Rate Limiting
API rate limiting to prevent abuse and ensure fair usage
Input Sanitization
Comprehensive input validation and sanitization pipeline
Safe Prompt Pipeline
Protected prompt engineering to prevent injection attacks
API Key Protection
Secure storage and management of LLM API keys
Microsoft Clean Architecture
Enterprise-grade architecture following Microsoft best practices
Performance & Scalability
Next.js Frontend (Chat UI)
Next.js 15
Latest Next.js with App Router and React 19
Real-time Chat UI
Instant messaging interface with typing indicators
Message Streaming
Stream responses character-by-character for better UX
Role-Based Dashboard
Admin dashboard with user management and analytics
Authentication
Secure login and session management
Light/Dark Theme
Customizable UI themes for better user experience
Cloud Deployment
Business Benefits
Reduce Support Costs
Cut customer support costs by up to 60% with automated responses
Automate FAQs
Handle common questions instantly without human intervention
Auto-Learn from Users
Continuously improves by learning from every conversation
Unlimited Custom Agents
Add unlimited specialized agents for your business needs
Multi-Language Support
Support customers in multiple languages seamlessly
Fast & Optimized
Sub-second response times with optimized AI processing
ERP/POS Integration
Seamless integration with your existing business systems
24/7 Availability
Round-the-clock customer support without downtime