Blog
Deep dives into RAG pipelines, agentic AI, LLM integrations, and lessons from building production AI systems.
Streaming LangGraph state updates to the browser in real time
WebSockets add complexity you don't need for agent telemetry. An async FastAPI generator and the browser's native EventSource API is 30 lines of code that actually works.
We stopped writing custom tool schemas. We use MCP now.
Every AI agent team eventually writes the same glue code: a tool registry, a schema validator, a context injector. Model Context Protocol replaces all of it with a standard your agent runtime already speaks.
Why pure vector search fails in enterprise RAG — and how RRF fixes it
Vector search fails on exact product codes, acronyms, and part numbers. Learn how combining BM25 keyword matching with dense vectors using Reciprocal Rank Fusion (RRF) and cross-encoder reranking boosts retrieval precision by +23%.
I Run an AI Agent on a VPS. Here's My Actual Setup
A walkthrough of my real OpenClaw deployment: 13 Telegram topics, GPT-5.2 on Azure free tier, Playwright browser automation with anti-bot bypass, and a massive ecosystem of over 5,700 ClawHub skills powering my Second Brain. Pulled directly from my live droplet.
Qwen 3.5 in Production: Running with vLLM and Deploying Local Inference on Azure VM
A deep dive into deploying Qwen 3.5 with vLLM for high-throughput inference and running cost-efficient local inference on Azure VMs with GPU acceleration.
MiA-RAG: Mindscape-Aware Retrieval-Augmented Generation for Long-Context Reasoning
MiA-RAG introduces a mindscape-aware embedder and retriever that inject global semantic context into RAG pipelines, dramatically improving long-document QA accuracy and retrieval recall.
How I Set Up an On-Prem Agentic AI Stack with Open-Source Embeddings and Fully Local Inference
A practical guide to building a fully on-prem agentic AI system using open-source embeddings and local LLM inference — no APIs, no cloud, complete data control.
Sovereignty at Scale: Engineering Production-Grade RAG on Bare Metal
Stop paying the 'Internet Tax' and risking data leaks. We moved our RAG pipeline from SaaS to a local H100 cluster, cutting latency by 40% and TCO by 70% at scale.
Moving Beyond Naive RAG: How We Built a 90% Hit-Rate Pipeline for Production
Basic vector search fails in production. Learn how we engineered a multi-stage RAG pipeline with hybrid search, re-ranking, and agentic loops to achieve 90%+ accuracy.