Generative AI · LLMs
Building Production-Ready RAG Systems: Architecture Patterns That Scale
A deep dive into RAG architectures — from naive chunking to advanced hybrid retrieval with semantic ranking, metadata filtering, and reranking pipelines.
AI Insights & Tutorials
Deep dives into Generative AI, LLMs, Voice AI, and MLOps.
Practical articles from the engineering team at Quantora Analytics — covering architecture patterns, implementation guides, and lessons learned from production AI deployments.
Voice AI · Agentic AI
How We Built a Voice AI Agent Handling 2,000+ Calls Per Day
The full architecture of a production Voice AI calling agent — from Twilio integration and Deepgram STT to LLM processing and ElevenLabs TTS with sub-300ms latency.
MLOps · LLMOps
LLMOps in 2026: From Prompt Versioning to Production Monitoring
A comprehensive guide to LLMOps — prompt registries with GitOps, automated evaluation pipelines, drift detection, cost monitoring, and canary deployments.
Agentic AI · LangGraph
Multi-Agent Orchestration with LangGraph: A Practical Guide
Building stateful, multi-step AI workflows with LangGraph — state machines, conditional routing, human-in-the-loop patterns, and handling agent failures gracefully.
Prompt Engineering
Advanced Prompt Engineering: Chain-of-Thought, ReAct, and Self-Consistency
Beyond basic prompting — structured reasoning with CoT, the ReAct pattern for tool-using agents, and self-consistency sampling for improved accuracy on complex tasks.
Machine Learning
Fraud Detection with Transformers: From Tabular Data to Production
How we applied transformer architectures to tabular financial data — feature engineering, training pipeline, handling class imbalance, and deploying with FastAPI + Docker.
Data Engineering
Modern Data Stack in 2026: Choosing Between Lakehouse, Warehouse, and Streaming
A framework for selecting the right data architecture — when to use Delta Lake vs Snowflake vs Kafka, and how to build incrementally without over-engineering.
Computer Vision
Computer Vision QC at Scale: Detecting Defects with 99.2% Precision
A case study on deploying real-time computer vision quality control in a manufacturing setting — YOLO architecture, synthetic data augmentation, and edge inference optimization.
Python · AI
Building a FastAPI Backend for LLM Applications: Best Practices
Production patterns for LLM APIs — async handling, streaming responses, rate limiting, token budgeting, caching, and structured output parsing with Pydantic.
Stay Updated
Get new articles delivered to your inbox.
No spam. Only practical AI engineering insights, case studies, and tutorials — delivered 2×/month.