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Academic & Reference Lookup Tools — Knowledge Base Integration

Langoedge Team2 min read

What are the Reference Lookup Tools?

To empower your AI agents with verified reference capabilities, Langoedge provides specialized integration wrappers for academic and encyclopedia databases. These tools allow agents to retrieve summaries of scientific research or factual reference listings instantly.

The platform provides two primary lookup tools:

  1. arxiv_search (ArXiv Search): Queries academic preprints, papers, and publications hosted on arXiv.
  2. wikipedia_search (Wikipedia Search): Queries Wikipedia summaries and articles to resolve general fact questions.

This tool is ideal for agents operating in technical, scientific, or research-intensive contexts. It leverages the LangChain ArXiv API Wrapper to query papers by title, author, or subject area.

Tool Parameters

Parameter Type Required Description
query string Yes The keyword or natural language query (e.g. "Attention is all you need" or "deep learning in medicine").

Technical Output

The tool returns structured metadata and text summaries of matching papers, including:

  • Title of the paper
  • Authors and Published Date
  • Abstract containing the core findings

Use this tool to provide agents with a reliable general reference source for lookups on historical figures, institutions, terminology, and historical events.

Tool Parameters

Parameter Type Required Description
query string Yes The search term to resolve on Wikipedia.

Frequently Asked Questions

Can the agent download full-text PDFs using arxiv_search?
The `arxiv_search` tool returns detailed abstracts and metadata summaries. For full-text scraping, the agent can extract the paper URL from the metadata and pass it to the `crawl_url` tool.
Does Wikipedia search support multi-language queries?
Yes. The search engine resolves queries based on global search contexts, although english is queried by default.
LT

Langoedge Team

The Langoedge engineering team builds AI agent infrastructure that empowers businesses to deploy reliable, observable AI staff. Follow Langoedge Team on LinkedIn for product updates and architectural deep dives.