Export a skill's learned representations into a FAISS vector index for scalable similarity search with GPU acceleration.
MIT
606,394 tools. Updated 2026-09-24 08:04
"Information about FAISS (Facebook AI Similarity Search)" matching MCP tools:
- Retrieve detailed Facebook page data including follower count, likes, contact information, and category from a page URL.MIT
- Search 64,000+ NZX announcements with AI semantic search to find conceptual matches that keyword search misses. Returns relevance-ranked results with similarity scores and text snippets.MIT
- Search the knowledge base using semantic similarity to find relevant information. Retrieve ranked chunks with source details before creating new resources.MIT
- Retrieve detailed information about a specific AI agent session for debugging, performance tracking, and LLM usage analysis.MIT
- Report vector store status to confirm indexed documents, chunk count, embedding dimension, and FAISS index type, ensuring retrieval setup is ready.MIT
Matching MCP Servers
- FlicenseNot gradedqualityBmaintenanceEnables stateless similarity search over pre-computed vector corpora using NMI and cosine fusion with entropy-calibrated weighting. Provides tools for ranking, scoring, outlier detection, and alpha calibration for AI agents.-
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Matching MCP Connectors
Stateless NMI + cosine fusion with entropy-driven alpha calibration
- facebook-dataOAuth
Facebook data for AI agents: pages, posts, groups. Brand, market + competitor research JSON.
- Retrieve details about Clipwise, an AI platform for short-form video creators, covering overview, features, pricing, and supported platforms like TikTok, Instagram Reels, YouTube Shorts, and Facebook Reels.MIT
- Retrieve detailed information about a specific Search Engine Service cluster using its cluster instance number.MIT
- Get a Facebook Page's name, category, follower count, about text, and contact info. Use this to access comprehensive page details for analytics.MIT
- Find blockchain blocks using AI-powered semantic search that understands natural language queries about Ethereum data.MIT
- Search external FAISS index for semantically similar items to a query and retrieve top matches.MIT
- Check the operational status of the external FAISS tether. Returns whether the tether is enabled and connected.MIT
- Retrieve detailed information about a Facebook Page, including name, category, description, follower counts, and linked Instagram account.MIT
- Retrieve detailed information about a specific Facebook post by its ID. Choose output as markdown or JSON.MIT
- Retrieve detailed Facebook Page information including name, category, description, follower counts, and linked Instagram account by providing a Page ID.MIT
- Retrieve detailed information about a specific Facebook post using its post ID. Get post content, engagement metrics, and metadata in markdown or JSON format.MIT
- Retrieve details about the current AI embedding provider configured for semantic code search, including model information and capabilities.MIT
- Retrieve detailed information about a specific AI model's configuration, capabilities, and specifications to understand its technical parameters and operational characteristics.MIT
- Retrieve detailed information about Suno AI music tracks using their unique track identifiers.MIT
- Retrieve detailed information about a specific AI model, including pricing, cost parameters, and usage limits. Use this to get model-specific details for informed decisions.MIT
- Search local financial research documents semantically using FAISS embeddings. Submit a query to retrieve relevant matches.MIT