Agentic data science with the Data Agent Kit
cloud.google.com·6h ago
AI Research
arXiv CS.AI·Jul 30·5 min read
SimpleWikiSearch: A Clean Offline Wikipedia Environment for Agentic Search
TL;DR
SimpleWikiSearch is a structured offline environment designed for evaluating agentic search systems using large language models (LLMs). It provides a clear setup for reproducible results, addressing common issues in performance evaluation.
✦ Why It Matters
Implement SimpleWikiSearch to standardize your evaluations of agentic search systems today.
Key Takeaways
- Use SimpleWikiSearch for consistent evaluation of search systems.
- Leverage the provided baseline results for benchmarking.
- Access the open-source code to customize your setup.
- Compare your models against the random subset for insights.
How It Works
SimpleWikiSearch begins with a full English Wikipedia dump, which is then cleaned and divided into manageable chunks. It constructs both keyword and dense retrieval indexes to facilitate efficient searching.
The system exposes a minimal tool interface that includes functions for searching, opening URLs, and submitting answers, making it straightforward for users to interact with the data.