Release v1.2.0: Newspaper-style layout with major UI refinements

This release transforms PING into a sophisticated newspaper-style digital
publication with enhanced readability and professional presentation.

Major Features:
- New FeaturedPostHero component with full-width newspaper design
- Completely redesigned homepage with responsive newspaper grid layout
- Enhanced PostCard component with refined typography and spacing
- Improved mobile-first responsive design (mobile → tablet → desktop → 2XL)
- Archive section with multi-column layout for deeper content discovery

Technical Improvements:
- Enhanced blog post validation and error handling in lib/blog.ts
- Better date handling and normalization for scheduled posts
- Improved Dockerfile with correct content volume mount paths
- Fixed port configuration (3025 throughout stack)
- Updated Tailwind config with refined typography and newspaper aesthetics
- Added getFeaturedPost() function for hero selection

UI/UX Enhancements:
- Professional newspaper-style borders and dividers
- Improved dark mode styling throughout
- Better content hierarchy and visual flow
- Enhanced author bylines and metadata presentation
- Refined color palette with newspaper sophistication

Documentation:
- Added DESIGN_BRIEF_NEWSPAPER_LAYOUT.md detailing design principles
- Added TESTING_RESULTS_25_POSTS.md with test scenarios

This release establishes PING as a premium publication platform for
AI orchestration and contextual intelligence thought leadership.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
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---
title: "Why a Vector Database Alone Won't Cut It (Chroma vs. Our Approach)"
description: "Vector databases like Chroma have exploded in popularity. They solve a very specific problem: finding similar pieces of information fast. But if you mistake a vector DB for a full knowledge substrate, you're going to hit hard limits."
date: "2025-02-24"
publishDate: "2025-02-24T10:00:00.000Z"
author:
name: "Anthony Rawlins"
role: "CEO & Founder, CHORUS Services"
tags:
- "announcement"
- "contextual-ai"
- "orchestration"
featured: true
---
**The Chroma Value Proposition**
Chroma is excellent at what it does: store embeddings and return the nearest neighbors. Its simple, efficient, and useful as a retrieval backend.
**The Limits**
But a database is not a knowledge system. With Chroma, you get:
* Embeddings without meaning — no structured way to represent “where” knowledge lives.
* No sense of time — history is overwritten or bolted on manually.
* No reasoning trail — results come back as raw chunks, not justifications.
* No distributed context — each deployment is its own silo.
**What Were Doing Differently**
Our stack (Chorus + BZZZ + UCXL) doesnt replace a vector DB; it **sits above it**.
* We define a protocol for addressing and navigating knowledge, like URLs for context.
* We make time a native dimension, so you can query across versions and histories.
* We attach provenance to every piece of retrieved information.
* And we enable agents — not just apps — to share and evolve context across systems.
**Conclusion**
Chroma is a great building block. But its still just a block. If you want to build something more than a single tower — a **city of agents that can collaborate, exchange knowledge, and evolve together** — you need infrastructure that understands time, structure, and justification. Thats the gap were closing.