ContextWeave

ContextWeave Technical Architecture

System Overview

ContextWeave employs a two-stage architecture designed for accuracy, performance, and scalability:

  1. Profile Matching Stage (Cached) - Maps user queries to specific library versions
  2. Context Generation Stage (Real-time) - Filters and curates relevant documentation
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Backend Architecture

Core Components

1. FastAPI Application Server

# High-performance async web framework
- Request routing and validation
- Authentication middleware
- Rate limiting and throttling
- Comprehensive error handling
- OpenAPI documentation generation

2. Redis Caching Layer

# Multi-level caching strategy
- Profile cache (35 days TTL)
- Context cache (1 hour TTL)
- API response cache (6 hours TTL)
- Session management
- Rate limiting counters

3. LangChain RAG Pipeline

# Retrieval-Augmented Generation
- Document chunking and embedding
- Vector similarity search
- Context ranking and filtering
- LLM orchestration
- Response synthesis

Data Sources Integration

Libraries.io API

  • Package registry metadata
  • Version information
  • Dependency graphs
  • Popularity metrics

GitHub API

  • Repository documentation
  • README files
  • Issue discussions
  • Release notes

Google Programmable Search

  • Tutorial content
  • Blog posts
  • Community guides
  • Stack Overflow integration

AI Model Integration

Gemini Pro 2.5

  • Context filtering and analysis
  • Relevance scoring
  • Content summarization
  • Quality assessment

DeepSeek-Coder R1

  • Code generation
  • Syntax optimization
  • Error detection
  • Best practices integration

Text-Embedding-3-Small

  • Document vectorization
  • Semantic similarity search
  • Content clustering
  • Relevance ranking

Frontend Architecture

Next.js 14 Application

App Router Structure

app/
├── layout.tsx              # Root layout with providers
├── page.tsx                # Landing page
├── playground/             # Interactive demo
├── dashboard/              # User dashboard
├── api/                    # API routes
└── components/             # Reusable components

Key Features

  • Server-Side Rendering for optimal performance
  • Static Generation for marketing pages
  • Client-Side Navigation for interactive features
  • Progressive Enhancement for accessibility

State Management

// Zustand for client state
- User authentication state
- Profile configuration
- Generation history
- UI preferences

// React Query for server state
- API response caching
- Background refetching
- Optimistic updates
- Error boundaries

Component Architecture

Design System

// shadcn/ui components
- Consistent styling
- Accessibility built-in
- TypeScript support
- Customizable themes

Performance Optimizations

  • Code splitting by route and component
  • Image optimization with Next.js Image
  • Font optimization with next/font
  • Bundle analysis and tree shaking

Database Schema

Supabase PostgreSQL

Core Tables

-- User profiles and preferences
profiles (
  id uuid primary key,
  user_id uuid references auth.users,
  libraries text[],
  frameworks text[],
  languages text[],
  preferences jsonb
)

-- Generation history and analytics
generations (
  id uuid primary key,
  user_id uuid references auth.users,
  query text,
  response text,
  metadata jsonb,
  created_at timestamp
)

-- Usage tracking and billing
usage_tracking (
  id uuid primary key,
  user_id uuid references auth.users,
  generation_count integer,
  period_start timestamp,
  period_end timestamp
)

Row Level Security

-- Users can only access their own data
CREATE POLICY "Users can view own profile" ON profiles
  FOR SELECT USING (auth.uid() = user_id);

CREATE POLICY "Users can update own profile" ON profiles
  FOR UPDATE USING (auth.uid() = user_id);

Security Architecture

Authentication & Authorization

  • Supabase Auth for user management
  • JWT tokens for API authentication
  • Row Level Security for data isolation
  • Rate limiting per user and endpoint

Data Protection

  • Encryption at rest for sensitive data
  • TLS 1.3 for data in transit
  • Input validation and sanitization
  • CORS configuration for browser security

API Security

  • Request signing for external APIs
  • Secret management with environment variables
  • Audit logging for security events
  • Error handling without information leakage

Performance Architecture

Caching Strategy

Multi-Level Caching

# L1: In-memory application cache
- Frequently accessed data
- Configuration settings
- User sessions

# L2: Redis distributed cache
- API responses
- Generated contexts
- User profiles

# L3: CDN edge cache
- Static assets
- Public content
- API documentation

Cache Invalidation

# Time-based expiration
- Profile cache: 35 days
- Context cache: 1 hour
- API cache: 6 hours

# Event-based invalidation
- User profile updates
- Library version releases
- Manual cache clearing

Performance Monitoring

Metrics Collection

  • Response times for all endpoints
  • Cache hit rates by cache type
  • Error rates and types
  • User engagement metrics

Performance Targets

  • API response time: <3 seconds average
  • Cache hit rate: >80% for common queries
  • Uptime: 99.9% availability
  • Error rate: <1% of requests

Scalability Architecture

Horizontal Scaling

# Stateless application design
- No server-side sessions
- Database connection pooling
- Load balancer ready

# Microservices preparation
- Modular code organization
- Clear service boundaries
- API-first design

Database Scaling

-- Read replicas for query distribution
-- Connection pooling with PgBouncer
-- Query optimization and indexing
-- Partitioning for large tables

Infrastructure Scaling

  • Auto-scaling based on CPU and memory
  • Load balancing across multiple instances
  • CDN integration for global distribution
  • Database clustering for high availability

Monitoring & Observability

Application Monitoring

  • Error tracking with detailed stack traces
  • Performance monitoring with APM tools
  • User analytics for product insights
  • Business metrics for growth tracking

Infrastructure Monitoring

  • Server health and resource utilization
  • Database performance and query analysis
  • Cache performance and hit rates
  • Network latency and throughput

Alerting Strategy

  • Critical alerts for system failures
  • Warning alerts for performance degradation
  • Business alerts for unusual patterns
  • Escalation procedures for incident response

Deployment Architecture

Development Environment

# Local development with Docker Compose
- Frontend: Next.js dev server
- Backend: FastAPI with hot reload
- Database: PostgreSQL container
- Cache: Redis container

Production Environment

# Cloud deployment with high availability
- Frontend: Vercel with global CDN
- Backend: Railway with auto-scaling
- Database: Supabase with read replicas
- Cache: Redis Cloud with clustering

CI/CD Pipeline

# Automated testing and deployment
- Code quality checks with ESLint/Black
- Unit tests with Jest/pytest
- Integration tests with Playwright
- Automated deployment on merge

Technology Stack Summary

Backend

  • FastAPI - High-performance Python web framework
  • Redis - In-memory data structure store
  • LangChain - LLM application framework
  • PostgreSQL - Relational database via Supabase
  • Pydantic - Data validation and serialization

Frontend

  • Next.js 14 - React framework with App Router
  • TypeScript - Type-safe JavaScript
  • Tailwind CSS - Utility-first CSS framework
  • shadcn/ui - Component library
  • Framer Motion - Animation library

Infrastructure

  • Vercel - Frontend hosting and CDN
  • Railway - Backend hosting and deployment
  • Supabase - Database and authentication
  • RevenueCat - Subscription management

External APIs

  • Libraries.io - Package registry data
  • GitHub API - Repository information
  • Google Search - Tutorial and guide content
  • OpenAI - Embeddings and language models

This architecture provides a solid foundation for scaling ContextWeave from MVP to enterprise-grade application while maintaining performance, security, and reliability.