Unverified50% confidenceFactExact time
The project is named mini-Rag, open-sourced on GitHub, with the processing pipeline: BGE-M3 → Dense+Sparse Embeddings → Qdrant → Hybrid Retrieval/RRF → BGE Reranker → Relevance Gate → Context Quality Filter → Context Builder → Local LLM.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/30/2026
First Seen
Valid until: 12/29/2026
Sources
Related Entities
Related Claims
UnverifiedDevelopers publicly share .cursorrules templates optimized for different frameworks on GitHub.67% similarUnverifiedThe workflow project has been open-sourced in the GitHub repository roycho87/minimax_wf.67% similarUnverifiedThe GitHub open-source project nikicat/opus-vs-gpt-vs-deepseek-dkls23 has three AI models build a threshold ECDSA command-line tool written in Rust from scratch under identical tasks.66% similarUnverifiedDVC在Git之上构建元数据管理层，Git仓库中只保留轻量的.dvc指针文件，并引入了Pipeline（数据管道）概念65% similarUnverifiedUnlike plugin-based solutions such as GitHub Copilot, Cursor uses RAG technology to incorporate the entire codebase context into the model's input, giving it awareness of project file structure, function dependencies, and naming conventions.64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/963396API
curl https://kongchang.com/api/v1/knowledge/claims/963396MCP
get_claim(id=963396)