Keep RAG search current by re-indexing catalog schema after changes. Uses schema hashing to skip unchanged schemas.
Apache 2.0
649,985 tools. Updated 2026-10-08 21:33
"Information or Uses for a Rag" matching MCP tools:
- Check HTML snippets for WCAG accessibility issues without a live URL or browser. Get static heuristic results and optional RAG-powered fixes for components.MIT
- Create a knowledge base for RAG to store and organize information for AI assistants to retrieve and reference during conversations.MIT
- Retrieve detailed information about a specific RAG project within the Calibre ebook library, including its configuration, contents, and organization for semantic search and contextual conversations.-
- Convert a website or up to 1000 URLs into RAG-ready chunked JSONL for vector database import.MIT
- Ask natural-language questions and receive grounded, cited answers from Calypso's knowledge base, with support for file IDs and multi-turn follow-ups.MIT
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日本の成人向け作品 (18歳以上) の出演者・作品検索。画像からの出演者判定はサイトで発行する認証コードが必要。
生成式AI备案、AI生成内容标识、深度合成、算法备案：条文级问答 + 按条号取法规原文 + 应办清单（中文）
- Re-index markdown documents to refresh the RAG search index. Use before querying when the index is empty or source files change.MIT
- Convert text into a numeric vector for semantic search, RAG, and similarity. Supports multiple languages.MIT
- Retrieve a list of all knowledge folders in your organization, each containing documents for RAG capabilities.MIT
- Convert any public web page into token-efficient Markdown for RAG and AI agents. Optionally render JavaScript for single-page apps.MIT
- Perform semantic search over a stored memory namespace to retrieve the most relevant entries. Use this to recall context for RAG pipelines.MIT
- Scan any URL or multi-route SPA for WCAG 2.1 AA violations and get RAG-powered, browser-verified fixes in one call. Set maxFixes:0 for scan-only.MIT
- Check the current status of the RAG documentation index, including total chunks, configured sources, and last update times.Apache 2.0
- Generate vector representations for texts via Forge's hosted API to power semantic search, RAG, clustering, or similarity; use query/document input types.MIT
- Combine BM25 keyword and vector ANN semantic search in a single query. Adjust vector weight to balance between keyword-only and semantic-only retrieval, ideal for RAG when either alone falls short.MIT
- Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.MIT
- Synchronize project folders from Google Drive to RAG, using Drive as the master to add or remove projects.MIT
- Find document types semantically similar to a query via multilingual semantic search. Matches by meaning, not exact text, using RAG-based embeddings.MIT
- Confirm that the dryad-rag-pipeline service is reachable to ensure agents can reliably index and search documents.MIT
- Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.MIT
- Extract clean content from a public URL, returning Markdown, text, metadata, links, JSON-LD schema, and sections for scraping, RAG ingestion, or content analysis.MIT