Wikipedia integration

What the Wikipedia package does

Search and retrieve content from Wikipedia

Wikipedia integration for searching and retrieving content from Wikipedia. Provides article search, summary retrieval, full content extraction, and random article discovery. Supports multiple languages and optional API authentication for higher rate limits. Uses Connect/Disconnect pattern for session management.

Namespace

Robomotion.Wikipedia

Latest version

1.1.0 (4 versions published)

Written in

Go

Categories

Other

Wikipedia nodes (7)

These are the node IDs an agentic flow or an RPA bot uses, exactly as they appear in the Flow Designer and in flow code. An agent tool node can also be called by an AI agent on its own. The Toolkit node hands an agent several of the package operations at once.

Platforms

The Wikipedia package runs on Windows, macOS and Linux robots. Any Robomotion robot on these operating systems can run a flow that uses it.

How to install the Wikipedia package

1. Open Packages in the Robomotion Flow Designer.
2. Search for Wikipedia or Robomotion.Wikipedia, then click Install on its card.
3. The Wikipedia nodes appear in the node palette for everyone in the workspace, because installation is per workspace.

From a terminal, the Robomotion CLI installs the same package:

robomotion install Robomotion.Wikipedia

Related integrations

Packages that share a category or keywords with Wikipedia. It is filed under Other.

• OpenWeatherAccess weather data, forecasts, and air quality information from OpenWeatherMap API
• Knowledge BaseQuery Robomotion Knowledge Bases from flows. Hybrid (vector + keyword) retrieval over locally cached sqlite-vec indexes, an optional Rerank node (Cohere / Voyage AI / Jina), plus a Knowledge Toolkit for Hermes agents. The same binary doubles as the ingestion worker used by robomotion-agent.
• AlgoliaSearch and manage Algolia indices and records
• ConfluenceConnect to Atlassian Confluence Cloud to manage pages, spaces, comments, labels, and attachments
• ElasticsearchSearch, index and manage documents in Elasticsearch clusters
• LanceDBStore and search embeddings in LanceDB - the embedded vector database. Works against a local directory, S3/GCS/Azure object storage or LanceDB Cloud. Vector, full-text and hybrid search, SQL filters, upserts, indexing, plus a Toolkit that hands the whole database to an AI agent.

Wikipedia documentation

The Wikipedia package reference on docs.robomotion.io documents each node and its properties.