Add a knowledge base document (epub, pdf, docx, txt, html) to an ElevenLabs agent to enhance its capabilities with specific information from a URL, file, or text input.
MIT
133,525 tools. Last updated 2026-05-25 17:48
"Creating a Document as a Knowledge Base" matching MCP tools:
- Search a Postgres knowledge base to find information using queries, supporting domain filtering and result limits for targeted data retrieval.MIT
- Add structured information to a Postgres knowledge base for organized storage and retrieval. This tool enables users to input content with metadata like domain, source, and tags to build a searchable knowledge repository.MIT
- Create new documents in a specified collection for knowledge bases, guides, or notes. Add content via markdown, nest under parent documents, and publish immediately or save as draft.MIT
- Query CSV documents in the RAD Security knowledge base using natural language questions to extract security insights from structured data.MIT
- Link knowledge base documents to an AI agent by replacing its current document associations with specified IDs. Use to update or clear agent knowledge sources.MIT
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- Remove a knowledge base and all associated files permanently. This action cannot be reversed once completed.MIT
- Add documents to a local knowledge base by providing content, filepath, and category. Saves and indexes content immediately for retrieval.MIT
- List all available knowledge base vaults and see the number of documents each contains to understand your documentation structure.Apache 2.0
- Scrapes and indexes web page content from a URL to add documents to a knowledge base for intelligent search and agent association.MIT
- Remove a project's knowledge base and all associated entries from Hivemind MCP to start fresh or completely delete project data.MIT
- Test a domain's chat by sending a message that triggers RAG search and LLM generation, mimicking production to verify the knowledge base is functioning correctly.MIT
- Initialize a domain with a knowledge base by uploading markdown content. Each ## section becomes a searchable vector-embedded document. Run this before testing or serving chat queries.MIT
- Check the current status of the knowledge base vector store to monitor build progress, document count, and cache statistics.MIT
- Link documents to AI agents by adding them to the agent's knowledge base for enhanced information access and processing.MIT
- Ask astronomy questions to retrieve answers from NebulaMind's collaborative knowledge base.MIT
- Delete documents from the knowledge base index, optionally removing files from disk to manage stored information.MIT
- Modify existing documents in a knowledge base by replacing content and re-indexing for accurate retrieval in local RAG systems.MIT
- Retrieve all data sources linked to a specific Amazon Bedrock Knowledge Base to manage document ingestion and RAG query configurations.MIT
- Retrieve detailed information about a specific Amazon Bedrock Knowledge Base, including its status, configuration, and settings.MIT