Post · Search & RAG
2,000 new AI repos, one question each
A crawler asks Jev whether each repository is worth your time.
Open x.com ↗i sent a crawler through github's new ai repos from the last 30 days. this is what it looks like
1 crawler turns into 128
2,000 repos, every readme, every word it steps on
each one goes to jev with one question: is this worth your time?
99.3% got thrown out. wrappers, copies,
The decision Jev makes
Rank candidates against a query, or answer whether a passage is relevant.
Where it fits
Search pipelines retrieve too much. These projects use Jev as a reranker or relevance check after the first search, so only useful results reach the user or the model. All 108 search & rag projects →
Related projects
Search & RAGjev-keyboardJev-powered candidate reranking for Rime on macOS, with Windows support planned.GitHub · ★ 4 · Ideny42
Search & RAGSmart FindCtrl+F, but for questions.GitHub · ★ 1 · eduardoalba00
Search & RAGRepoFinderFind your way around a large open-source repo: architecture map plus "where is X implemented?" answers with line citations; optional TypeSafe Jev…GitHub · SelmanBoraySearch & RAGagent-doc-searchPoint coding agents at the right docs in large codebases: local BM25 and a TypeSafe Jev Choice search propose documents, then a Jev yes/no check…GitHub · beqauxSearch & RAGFilmHunchSelf-hostable movie finder: describe a film any way you like and TypeSafe Jev scores film cards and full profiles against your exact sentence.GitHub · eduardoalba00
Search & RAGVector Graph RAGGraph RAG framework over Milvus vector search with no graph database required: Jev Noul judgments select graph relations and rerank full source…GitHub · ★ 258