Hybrid Search and Reranking: What Each One Actually Buys You
Enterprise RAG Engineering — Part 2 of 3 Where Part 1 Left Off Part 1 argued that most enterprise RAG systems fail at the ingestion layer, before a…
Architecture
⚑ Сообщить о проблемеПоследние новости Architecture от Tech News
Все темы
agents
ai
api
architecture
automation
aws
backend
beginners
career
database
devchallenge
devops
javascript
llm
machinelearning
mcp
news
opensource
performance
productivity
programming
python
react
security
showdev
softwareengineering
systemdesign
tutorial
typescript
webdev
Semantic Search Without an LLM. Build Blazing-Fast Semantic Search for \$0
We live in an era where "AI search" usually means routing simple queries through heavy, expensive, slow generative Large Language Models (LLMs). But…
Why we built recall-first search on PostgreSQL
Our careers page search often felt broken. Searching for “Java” could return JavaScript roles. A misspelling could produce no results at all. Search…
Designing Low-Power IoT Devices with Integrated Wi-Fi and Bluetooth LE SoCs
Modern IoT devices are expected to do more while using less power and occupying less physical space. A single connected device may need to communica…
OpenViking’s Filesystem View of Agent Context Is a Welcome Escape from RAG Glue Code
A repository gaining 7,710 stars in a month deserves a performance-minded look, not just a screenshot of the README. OpenViking positions itself as…
Talk to Your Medical History: Building a Personal EHR RAG with Milvus and Unstructured.io 🩺
We’ve all been there: digging through a mountain of crumpled hospital printouts, blurry scans, and nested PDFs just to find out what that specific b…
VectorAI DB Doesn't Embed Your Text, and That's the Point
Building a small local knowledge base on top of Actian VectorAI DB, the actual challenge wasn't the database. It was easy to accidentally fake seman…
jina-embeddings-v4 as an OpenAI-Compatible Embeddings Server
jina-embeddings-v4 is a self-hosted server for the jina-embeddings-v4 embedding model with an OpenAI-compatible /v1/embeddings endpoint. It runs on…
Scaling RAG Systems: Production Architecture, Performance, and Cost Optimization
The first three parts of this series covered why production RAG systems fail and how the quality of the data foundation directly affects everything…
Why AI Agents Lose Their Memory And How MemoFS Solves It
Whether you are using off-the-shelf AI coding tools like Claude Code and Cursor or building custom autonomous AI agents with TypeScript and LLM APIs…
Vector Databases, Deep Indexing & Token Economics: The Complete Story (phase 3)
From "we have vectors" to "this actually scales, and doesn't bankrupt us." The Story Starts: Two Questions in One 👦 Nephew: Uncle, Phase 2 is done.…
Quantified Self 2.0: Stop Guessing Your Health History—Build a Personal Medical Vector Database
Let's be real: our personal medical history is a mess. It’s a chaotic mix of PDF lab results, grainy scans of prescriptions, and cryptic Electronic…
The Markdown File That Beat a $50M Vector Database: Separating Storage and Search in Agent Memory
In the rush to build AI agents, we defaulted to complex vector databases. But high-traffic platforms are converging on a simpler, more robust founda…
Pinecone vs Weaviate vs Milvus vs Qdrant: Which Vector DB in 2026?
I have helped a number of teams pick a vector database in the last year. The conversation always starts the same way: four logos, one Slack message,…
# Vector Search and RAG: A Primer
A short learning path from a weekend project: I indexed my personal markdown notes (~800 chunks), tried a few local embedding models, stored the sam…
Vector Databases Are Not Magic, Here's What's Actually Happening Under the Hood
You've seen the tutorials. Spin up Pinecone, call .upsert() , do a similarity search, ship it. Everyone claps. The demo works. Then you take it to p…
milvuslite-kit configuration over code for vector search and rag workflows
Built a small framework called MilvusLite Kit to make vector search and RAG workflows more configuration-driven and less code-heavy. Instead of writ…
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 nod…
Why Your Vector Database Is Overpriced: Lucene's 32x Compression and Serverless Economics
Why Your Vector Database Is Overpriced: Lucene's 32x Compression and Serverless Economics In 2026, the boundary between "search engine" and "AI infr…
Enterprises Are Quietly Moving Their AI Back On-Premises. Here Is Why.
42% of companies are considering moving workloads off the cloud. For AI infrastructure specifically, the reasons are more urgent than cost. The Tren…
Your AI Agent Craves Curation. Here’s the FADEMEM Memory Architecture That Delivers It.
You have explained your tech stack to your coding agent four times this month. You mentioned your preferred approach to a problem in January, and yo…
Progressive Distillation
Now that almost everyone has thought about or is actively integrating AI workflows into their projects, some might ask is this all worth the cost? M…
How We Reduced LLM Costs Without Touching Model Quality
How We Reduced LLM Costs Without Touching Model Quality One of the fastest ways to destroy an AI system in production is uncontrolled token growth.…
The Whitepaper Thunderdome: NeuSymMS vs. State Contamination
One paper builds the vault. The other paper proves the vault is already on fire. 12 min read · 4 parts · Published by Vektor Memory Part 1: Two Trib…
5 Best Python Vector Database Libraries
Most comparisons of Python vector database libraries focus on retrieval speed, indexing algorithms, or benchmark results. These metrics matter, but…
Can AI in Manufacturing Work Without the Cloud? A Guide
Keeping external traffic out of operational networks is a best practice that most manufacturing facilities build into their architecture from the gr…
The Whitepaper Thunderdome: HAGE vs Storage Is Not Memory
Two papers. One ring. No referees. Popcorn mandatory. 12 min read · 4 parts · Published by Vektor Memory Press enter or click to view image in full…
Building a Safety-First RAG Triage Agent in 24 Hours
Last weekend, I participated in HackerRank Orchestrate 2026 — a 24-hour hackathon where the challenge was deceptively simple: build a terminal-based…
Vector Databases Explained: What They Don’t Tell You
Everyone working in AI reaches a moment where they search a document and get back something that looks right but means nothing — or searches for a c…