Reduce LLM Token Waste in RAG with Markdown
TL;DR Feeding raw HTML to Large Language Models wastes tokens on markup, scripts, and styling. By rendering dynamic web pages in a headless browser an…
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Your .NET RAG stack hides a Python sidecar. I built the engine that removes it.
TL;DR — Every .NET RAG project quietly ships a Python sidecar to do one job: chunk documents. I got rid of mine. DocNest .NET is an idiomatic C# / .NE…
Claude LLM Execution Harnesses, RAG Rerank, & Browser-based Edge AI
Claude LLM Execution Harnesses, RAG Rerank, & Browser-based Edge AI Today's Highlights This week's top stories delve into advanced LLM orchestrati…
Define the state of our agent
Meta: Learn how to eliminate LLM hallucinations in career coaching apps using Agentic Workflows and RAG, as seen in the architecture of CVChatly. The …
Context Compression Before the LLM: Cutting Tokens Without Cutting Recall
Book: RAG Pocket Guide: Retrieval, Chunking, and Reranking Patterns for Production Also by me: Thinking in Go (2-book series) — Complete Guide to Go P…
Query Rewriting Before Retrieval: The Cheap Recall Win Most Skip
Book: RAG Pocket Guide: Retrieval, Chunking, and Reranking Patterns for Production Also by me: Thinking in Go (2-book series) — Complete Guide to Go P…
AI Agents Level Up Workflows: Terraform MCP, WebMCP, Pinecone Integrations
AI Agents Level Up Workflows: Terraform MCP, WebMCP, Pinecone Integrations Today's Highlights This week showcases significant advancements in AI agent…
38/60 Days System Design Questions
Your LLM has 128K tokens. Your document has 150K words. Something has to give. What do you do? A) Chunk the document into fixed-size pieces and embed …
Why my first RAG layer starts in Postgres, not in a standalone vector database
When people say they are "adding RAG" to a workflow, the conversation often jumps too quickly to infrastructure choices. Should this use a vector data…
Metadata Filtering Before Vector Search: The Recall Win Nobody Measures
Book: RAG Pocket Guide: Retrieval, Chunking, and Reranking Patterns for Production Also by me: Thinking in Go (2-book series) — Complete Guide to Go P…
Local AI Coding Agents, Secure Production Deployment, and Angular-Specific AI Skills
Local AI Coding Agents, Secure Production Deployment, and Angular-Specific AI Skills Today's Highlights This week's top stories highlight practical wa…
Token Cost Optimization: How to Cut LLM Inference Spend Without Cutting Quality
There is a version of token cost optimization that I do not recommend: cutting token counts by reducing the quality of your system prompt, your retrie…
RAG (Retrieval-Augmented Generation) Explained for Beginners: Build AI Applications Using Your Own Data
Introduction Large Language Models (LLMs) such as ChatGPT, Gemini, and Claude are incredibly powerful. They can answer questions, generate code, summa…
AI Agent Security, Open-Source Code Generation, and Frontier Models on Bedrock
AI Agent Security, Open-Source Code Generation, and Frontier Models on Bedrock Today's Highlights This week highlights a new security scanner for AI a…
AI Output Provenance for SaaS: Trace Answers Before They Become Liability
An AI answer can look clean, confident, and helpful while hiding the exact detail your team will need later: where did this claim come from? For AI Sa…
Your vector memory database remembers everything. That’s exactly the issue.
There is a design assumption baked into almost every vector database and AI memory implementation that sounds reasonable until you watch it grow nodes…
Citation-Guard: Production RAG Patterns for Regulated Fintech
Naive RAG passes the demo and fails the audit. The citation-guard pattern keeps fintech AI honest: retrieve with citations, quote numbers, abstain whe…
TradeMemory An AI-Powered Persistence Layer for Disciplined Trading
Project Documentation: TradeMemory Exploring Memory-Augmented AI for Trading Journaling Tech Stack: MERN + Groq (Qwen-3) + Hindsight Cloud Vector SDK …
I Built a Production RAG System on My M1 Mac for $0
I Built a Production RAG System on My M1 Mac for $0 Most RAG tutorials stop at "it answers questions." But answering questions is table stakes. The re…
FreshContext in agent workflows: judgment at the context handoff
FreshContext in agent workflows: judgment at the context handoff After sharing FreshContext publicly, a few comments helped me sharpen where it fits. …
Building Your "Longevity Knowledge Graph": Stop Ignoring 10 Years of Health Reports with GraphRAG and Neo4j
We’ve all been there: every year, you get a physical, receive a thick PDF full of blood markers, glance at the "normal range" checkmarks, and toss it …
Benchmarking AI Agents, Gemma 4 On-Device Workflows & AI System Security
Benchmarking AI Agents, Gemma 4 On-Device Workflows & AI System Security Today's Highlights This week, we dive into critical aspects of applied AI…
Securing AI Systems: Red Teaming, Prompt Injection, and Adversarial Testing
Part 6 of a series on building reliable AI systems In the previous parts of this series, we explored: Testing AI systems Evaluation pipelines RAG eval…
LLM-powered Learning, Handwritten Digit Recognition, and AI Career Guidance
LLM-powered Learning, Handwritten Digit Recognition, and AI Career Guidance Today's Highlights This week's top stories showcase practical AI applicati…
Why I Built RAG From Scratch Before Using LangChain
Technical Note #01: Why I Built RAG From Scratch Before Using LangChain Part of the Agentic Finance Beast Technical Notes series Published: June 7, 20…
LangChain + Chroma: Multi-turn RAG Memory and Automated Testing That Turned 2-Hour Bugs Into 5-Minute Fixes
At 1 a.m., the customer group chat exploded: “Does your customer service bot have only a 7-second memory? I just gave it the order number, and the nex…
RAG Retrieval Quality: Are Large Models Really Necessary?
Introduction: The Place of Large Models in RAG and Lingering Questions Retrieval-Augmented Generation (RAG) systems extend the information retrieval c…
Dropbox Nova for AI Coding Agents, OpenAI's Codex Sandbox, & Puppeteer MCP Server
Dropbox Nova for AI Coding Agents, OpenAI's Codex Sandbox, & Puppeteer MCP Server Today's Highlights This week, we dive into Dropbox's Nova platfo…
Long-Term Memory for LLM Agents That Works
A support agent tells a customer their plan is still Enterprise, even though finance downgraded it last week. A coding copilot forgets a repo conventi…
The Context Compression Pattern
Pattern Defined Precise Definition: Context Compression is an inference pattern that utilizes a specialized "selector" model or a ranker to distill la…