Intelligent Flask Applications
A curated collection of production-grade Flask architectures, AI agent workflows, real-time computer vision hubs, and asynchronous worker topologies.
CogniFlask AI Assistant
Real-time Multi-modal LLM Assistant with SSE Streaming & RAG
An enterprise-ready AI orchestration platform built on Flask 3.1, LangChain, and ChromaDB. Streams token-by-token LLM completions via Server-Sent Events (SSE), supports dynamic document ingestion, and implements semantic caching with Redis for 60% faster repeated queries.
- Server-Sent Events (SSE) token streaming without WebSocket overhead
- Hybrid lexical + vector similarity search with reranking
- Role-based access control (RBAC) and rate-limiting middleware
- Distributed session state managed via Redis Sentinel
PromptCraft Telemetry & Evaluation
LLM Prompt Versioning, Cost Telemetry & Automated Guardrails
Developer platform for testing, evaluating, and deploying robust LLM prompts across OpenAI, Anthropic, and local Ollama instances. Features token cost calculation, latency regression tracking, and automated toxicity filters.
- A/B prompt experimentation engine with semantic clustering
- Deterministic golden dataset regression suites
- Strict JSON schema enforcement with Pydantic v2 validation
- Fine-grained API key usage quota limits and billing metrics
DocuMind Enterprise RAG
Production-grade Document Intelligence & Citation Engine
Specialized Flask web service parsing complex multi-page PDFs, schematics, and financial tables. Extracts structural tables, runs hybrid BM25 + dense embedding indexing, and provides verified source-highlighted answers.
- Pixel-accurate document bounding-box citation visualizer
- Recursive chunking with context-aware semantic boundaries
- Multi-tenant vector namespace isolation
- Exportable audit reports with full grounding telemetry