- M5p1: BM25 text indexing via Tantivy with background syncer (0.26ms @ 10K docs) - M5p2: RRF fusion layer combining BM25 + ANN scores (46µs @ 1K candidates) - M5p3: unified Search query API (8-stage pipeline, BM25 + vector + ranking) - M5p4: creator text + vector indexing and creator search executor (< 20ms @ 200 creators) - Refactor db/mod.rs into focused sub-modules (creators, items, sessions, signals, etc.) - Decompose monolithic files into directory modules (query/executor, ranking/diversity, etc.) - Split brute.rs → brute/mod.rs + brute/tests.rs; extract search executor helpers - Add benches: fusion, search, session, text_index - Add M5 UAT test suites (m5_uat, m5_search, m5p4_creator_search, text_index) - Update blog posts, roadmap, content strategy, and M5 planning docs - Add tmp/ and .claude/worktrees/ to .gitignore Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
||
|---|---|---|
| .. | ||
| content/blog | ||
| public | ||
| src | ||
| .gitignore | ||
| eslint.config.mjs | ||
| next.config.ts | ||
| package-lock.json | ||
| package.json | ||
| postcss.config.mjs | ||
| README.md | ||
| tsconfig.json | ||
This is a Next.js project bootstrapped with create-next-app.
Getting Started
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
Learn More
To learn more about Next.js, take a look at the following resources:
- Next.js Documentation - learn about Next.js features and API.
- Learn Next.js - an interactive Next.js tutorial.
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
Deploy on Vercel
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.