RAG Explained for Beginners: How AI Assistants Stop Making Things Up
I once submitted an essay with three citations that I hadn't personally verified. The AI had suggested them, and they sounded right. None of them exis…
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RAG in Rust, Multi-Agent Orchestration with Hermes, and Arm Metis AI Security Framework
RAG in Rust, Multi-Agent Orchestration with Hermes, and Arm Metis AI Security Framework Today's Highlights This week highlights a deep dive into build…
Extract Plain Text from Medium Posts for RAG and Search Indexes
Chunk clean article content for embeddings, summarization, and full-text search—skip nav, clap bars, and scripts. Extract Plain Text from Medium Posts…
The .txt File as the Soul of a Personal AI — FileRAG Memory Architecture
The .txt File as the Soul of a Personal AI — FileRAG Memory Architecture By Dharanidharan J (JD) Full Stack & AI Engineer | Building Jarvix The Pr…
Everyone’s Building AI Agents. Here’s the One I Built for Myself
These days, everyone seems to be building AI agents. So I figured I should probably build one too. But instead of another generic demo, I wanted to so…
Why output-stage PII masking is the wrong protective surface for data exfiltration in RAG
"The output filter runs after the LLM has already seen the confidential data. By then, three classes of leak can no longer be stopped. The right surfa…
RAG SOTA, Agent Harnessing, and Langfuse Observability for AI Frameworks
RAG SOTA, Agent Harnessing, and Langfuse Observability for AI Frameworks Today's Highlights Today's top stories delve into optimizing RAG performance …
RAG SOTA: I Tested 7 Pipelines and Built SEQUOIA (Open Source)
RAG SOTA: I Tested 7 Pipelines and Built SEQUOIA (Open Source) After 20+ hours of compute time on local hardware, I benchmarked 7 RAG configurations a…
I Built a Lightweight Python RAG Orchestrator That Works with SQLite, PGVector and Qdrant
Most RAG frameworks today assume: a huge dependency graph mandatory LLM orchestration opinionated pipelines complex configuration But many real-world …
AI Coding Agents Search Like It's 2009. Provenant Cuts Tokens by 65 .
Here's what happens every time you ask an AI coding agent a question: It greps your codebase It returns 15 files It stuffs ~69,000 tokens of raw sourc…
I Built an Open-Source Multi-Agent Fact-Checker — Here's How It Works
Problem Statement We have a misinformation problem. But more specifically, we have a speed problem. A journalist spots a suspicious claim. They search…
The SilentRecon Agent Loop Architecture: How We Build AI That Doesn’t Stall
When people talk about “AI agents,” they imagine something autonomous, intelligent, and reliable. In reality, most agents collapse under their own wei…
AI Agent Production Challenges: Failures, Starlette Vulnerability, Code Gen
AI Agent Production Challenges: Failures, Starlette Vulnerability, Code Gen Today's Highlights This week's highlights focus on critical challenges in …
Dual Encoder vs Cross-Encoder: Why Your RAG Pipeline Needs Both
My RAG pipeline looked fine on paper. Fast retrieval. Decent cosine scores. But when I tested it with real queries, the top results were always a litt…
Vector Search at Scale: Why Your Index Isn't as Healthy as You Think
Vector search has become load-bearing infrastructure in modern AI systems remarkably fast. A year or two ago, it was primarily a research curiosity an…
Vector‑native RAG on Oracle: embeddings, HNSW/IVF, and hybrid search under database governance
Key Takeaways Storing vectors in an Oracle VECTOR column alongside content, metadata, and provenance means retrieval happens inside the database. Exis…
Next.js 16 RAG Pipeline Optimization: Give Your AI a Perfect Memory
RAG (Retrieval-Augmented Generation) is the foundation of knowledge-grounded AI. But most RAG implementations fail because of poor pipeline design—not…
Build a Private AI Search on Your Device: Local RAG in the Browser
How many times have you wanted to search your private PDFs, notes, or code files using AI, but hesitated? We all want the power of AI search. But uplo…
RAG - Sparse Embedding
Sparse means thinly spread, scattered, or not dense. In sparse embeddings, chunks are converted into tokens, and each token is represented based on wh…
AI Agents, Jupyter Tooling, and LLM Code Gen Production Metrics
AI Agents, Jupyter Tooling, and LLM Code Gen Production Metrics Today's Highlights Today's highlights cover the practical demand for AI agents, critic…
What is RAG? A Beginner's Guide to Retrieval-Augmented Generation (For Engineers Who Actually Build It)
RAG sounds complicated. It's not. But a lot of introductions to RAG make it sound more mysterious than it actually is. They use terms like "semantic s…
I built a token-level debugger for comparing two LLMs
Same prompt, two models, different outputs. No tooling was actually showing me where they diverged. Built tokenflame that gives entropy heatmaps, toke…
Scaling RAG for 10M+ Docs, .md Agent Memory, & Claude Code for Motion Graphics
Scaling RAG for 10M+ Docs, .md Agent Memory, & Claude Code for Motion Graphics Today's Highlights This week, we highlight architectural insights f…
Don't let a billion RAG docs drown your 25-result pipeline
Backpressure For Streaming Pipelines Last time we showed how to terminate non-cooperative CPU work at the worker boundary. This article stays cooperat…
What I Learned About Memory-Augmented AI Agents
Most AI chatbots are stateless. They forget everything once the conversation ends. But modern AI systems like ChatGPT Memory, Cursor, and autonomous A…
AI Agents & Python Workflows: Anthropic Skills, Jupyter Challenges, and Edge Deployment
AI Agents & Python Workflows: Anthropic Skills, Jupyter Challenges, and Edge Deployment Today's Highlights Today's highlights cover practical appl…
Local LLM for Claude Code, AI Workflow Orchestration, and MLOps Deployment Patterns
Local LLM for Claude Code, AI Workflow Orchestration, and MLOps Deployment Patterns Today's Highlights This week's highlights feature a practical guid…
We Replaced Our RAG Pipeline With Persistent KV Cache. Here's What We Found.
RAG has become the default answer for giving LLMs access to private knowledge. And for good reason — it works. But after running it in production we k…
What Enterprise RAG Is Ready For Today and What Production Deployment Actually Requires
Enterprise RAG — A practitioner's build log | Post 6 of 6 This series has documented a system built to a specific standard: one where access control i…
From Problems to Patterns: Generative AI in .Net (C#)
Learn to ship autonomous agents, RAG pipelines, and AI tools using Microsoft.Extensions.AI, Microsoft.Agents.AI, and Model Context Protocol — with 37 …