Queries a specialized vector database of Bruce Hansen's econometrics textbook to provide accurate academic references and theoretical context.
This skill integrates a Retrieval-Augmented Generation (RAG) system based on Bruce Hansen's authoritative econometrics textbook into Claude's workflow. It allows users to instantly retrieve specific theoretical definitions, formulas, and page-referenced content using a simple 'rag:' prefix. By leveraging a FAISS vector database and Python-based querying, it ensures that statistical analyses and econometric modeling tasks are supported by rigorous academic literature, reducing hallucinations in specialized technical domains and providing precise citations.
主要功能
01Precise page-number referencing for verified academic citations
02Support for both English and Chinese query processing
036 GitHub stars
04Semantic search across Bruce Hansen's Econometrics textbook
05Adjustable similarity scoring and n_results parameters
06Seamless integration with local FAISS vector databases
使用场景
01Verifying OLS regression assumptions and theoretical proofs during analysis
02Retrieving specific econometric formulas and theorems for implementation
03Cross-referencing statistical model results with textbook-standard methodology