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Skills with input: Embedding model

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  • azure-search-documents-py - Python SDK for Azure AI Search
    Azure AI SearchPython SDKfull-text searchvector search

    ★ 22 · Updated 2026-09-29

    Use the Azure AI Search Python SDK for vector, hybrid, semantic, and full-text search, indexing, document operations, and AI enrichment.

    ⚙ Create search indexes⚙ Upload search documents⚙ Run keyword searches
  • AgentDB Vector Search - AgentDB Semantic Vector Search
    vector searchvector databasesemantic searchembeddings

    ★ 22 · Updated 2026-05-11

    Implement semantic vector search with AgentDB for document retrieval and similarity matching

    ⚙ Store vectors⚙ Search similar vectors⚙ Export vectors
  • AgentDB Vector Search - Semantic Vector Search with AgentDB
    vector databasesemantic searchRAGembeddings

    ★ 650 · Updated 2026-05-11

    Implements vector-based semantic search using AgentDB for document retrieval and similarity matching

    ⚙ Initialize vector database⚙ Store document vectors⚙ Query vector similarity
  • Embedding Generator - Generate text embeddings for semantic search
    embeddingsvectorssemantic-searchNLP

    ★ 9 · Updated 2026-03-22

    Generate and manage text embeddings for semantic search, clustering, and similarity tasks

    ⚙ Generate embeddings⚙ Select embedding model⚙ Preprocess text