Search Tenzir documentation by keyword to find operators, functions, or concepts, and explore related content through cross-references for comprehensive understanding.
Apache 2.0
510,031 tools. Updated 2026-09-03 17:11
"Notes or documentation related to 'rag'" matching MCP tools:
- Check the current status of the RAG documentation index, including total chunks, configured sources, and last update times.Apache 2.0
- Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.MIT
- Create new notes or replace existing ones in Obsidian vaults for structured documentation, templates, or programmatic content generation.MIT
- Display session efficiency statistics: token usage, RAG savings, and patterns learned. Quantify context saved by RAG versus loading full documentation.MIT
- Read multiple related notes simultaneously to understand connections and context before creating new atomic notes in your Zettelkasten workflow.MIT
Matching MCP Servers
- FlicenseAqualityCmaintenanceProvides SQL-backed semantic search over indexed notes using pgvector, exposing tools to search and list note sources via natural language.2
- AlicenseNot gradedqualityAmaintenanceEnables semantic search and retrieval over an Obsidian vault using local or API-based embeddings, allowing AI assistants to find notes by meaning, get related content, and pull context during conversations.15MIT
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A daily notebook your AI writes in — on today's page, in your entity graph, marked as its own.
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- Extract and analyze all URLs from a webpage to discover related documentation pages, API references, or build a documentation graph. Handles various URL formats and validates links during extraction.MIT
- Retrieve related GenLayer documentation sections by providing a slug, path, title, URL, or fuzzy query. Returns up to 10 matching sections.MIT
- Search Tenzir documentation to find operators, functions, and concepts by keyword or specific paths. Expand related docs via 'See Also' links to discover relevant information.Apache 2.0
- Displays session efficiency: token usage, RAG savings, and learned patterns. Call after multi-step tasks to reveal context saved by RAG versus full documentation loads.MIT
- Look up how to use any CrewAI feature, tool, or pattern by querying the internal documentation RAG engine. Returns relevant snippets with source URIs.MIT
- Fetches a URL and ingests its main content into a RAG collection, stripping navigation, cookie banners, and footers from documentation pages and articles.Apache 2.0
- Find relevant information across stored documentation using natural language queries. Returns ranked excerpts with context for specific details, code examples, or related documentation.MIT
- Search for notes containing specific text and retrieve matching file paths with snippets. Use this to find existing relevant documentation before creating new notes.MIT
- Find notes semantically related to your query text, ranked by meaning so you can locate relevant content and detect duplicates before adding new notes.BSD 2-Clause "Simplified"
- Search documentation for code examples matching your query. Get working examples for Griptape patterns like RAG pipelines, custom tools, or workflows.MIT
- Download entire documentation websites for offline RAG indexing by providing a URL, enabling configurable depth and asset capture.MIT
- Find related notes in Obsidian vaults by analyzing links, keywords, and recency to discover relevant connections for any topic or seed note.MIT
- Create notes in Obsidian vaults for documentation, meeting notes, ideas, or content using markdown formatting, tags, and frontmatter.MIT
- Find related notes in Obsidian by analyzing content or keywords to suggest connections for better knowledge organization.MIT