Used local Ollama (gemma4:e4b + nomic-embed-text) to bulk-generate AI summaries for 4300 arXiv papers and push them to a remote Cloudflare DB — pipeline walkthrough

In three linesDeveloper built ArxivExplorer, semantic arXiv search engine with AI-generated summaries. Local pipeline uses Ollama: gemma4:e4b (8B) for structured JSON summaries, nomic-embed-text (137M) for 768-dim embeddings. 4300 papers processed, ~95% first-pass success rate, storage via Cloudflare D1/Vectorize. REST API 100× faster than wrangler.

Summary generated by Claude — human-verified