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Skills tagged: vector database

Browse skills that share this tag.

  • pinecone - Pinecone vector database for semantic search
    vector databasesimilarity searchRAGembeddings

    ★ 4 · Updated 2026-06-15

    Store embeddings and query by semantic meaning for RAG and similarity search

    ⚙ create index⚙ list indexes⚙ delete index
  • AgentDB Vector Search - AgentDB Semantic Vector Search
    vector searchvector databasesemantic searchembeddings

    ★ 18 · 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

    ★ 602 · 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
  • dba-vectordb - Vector Database Administration Agent
    vector databasepgvectorsemantic searchRAG

    ★ 0 · Updated 2026-05-09

    Design and optimize vector databases for semantic search and RAG applications with pgvector

    ⚙ create pgvector extension⚙ design embedding schemas⚙ create HNSW indexes
  • ai-engineer - AI Integration Specialist
    LLMRAGAI integrationprompt engineering

    ★ 18 · Updated 2026-05-09

    Integrate LLM APIs, build RAG pipelines, control token costs, and prevent prompt injection attacks

    ⚙ select LLM model⚙ build RAG pipeline⚙ design prompt
  • tos-vectors - Manage vector storage and similarity search
    vector databasesimilarity searchRAGembeddings

    ★ 0 · Updated 2026-03-24

    Manage vector storage, indexing, and similarity search using TOS Vectors service

    ⚙ create vector bucket⚙ list vector buckets⚙ delete vector bucket
  • tos-vectors - Manage TOS Vectors storage and search
    vector databasesemantic searchembeddingsRAG

    ★ 4 · Updated 2026-03-24

    Manage vector storage, indexing, and similarity search using TOS Vectors service.

    ⚙ create vector bucket⚙ list vector buckets⚙ delete vector bucket
  • tos-vectors - Manage vector storage and similarity search
    vector databasesimilarity searchembeddingssemantic search

    ★ 10 · Updated 2026-03-24

    Manage vector storage, indexing, and similarity search using TOS Vectors cloud database

    ⚙ create vector bucket⚙ list vector buckets⚙ delete vector bucket
  • tos-vectors - TOS Vectors Storage and Search Service
    vector databasecloud servicesimilarity searchembeddings

    ★ 1 · Updated 2026-03-24

    Manage vector storage, indexing, and similarity search using TOS Vectors cloud service

    ⚙ create vector bucket⚙ list vector buckets⚙ delete vector bucket
  • context-management-context-restore - Context Restoration: Semantic Memory Rehydration
    context managementmemory restorationsemantic searchvector database

    ★ 0 · Updated 2026-03-21

    Recover and reconstruct project context across distributed AI workflows

    ⚙ retrieve context⚙ rank contexts⚙ rehydrate context
  • semantic-similarity - Semantic Similarity Computation
    semantic similarityknowledge managementvector databaseembedding models

    ★ 1,788 · Updated 2026-03-20

    Compute semantic relationships between content using embedding models and vector similarity

    ⚙ generate document embeddings⚙ configure embedding models⚙ implement similarity search
  • rag-architect - RAG System Architecture Designer
    RAGvector databasesemantic searchdocument retrieval

    ★ 18 · Updated 2026-03-10

    Design and build RAG systems with vector databases and semantic search

    ⚙ design retrieval systems⚙ select vector databases⚙ configure vector databases
  • rag-architect - RAG System Architecture Designer
    RAGvector databasesemantic searchretrieval

    ★ 2 · Updated 2026-03-10

    Design RAG systems with vector databases and semantic search capabilities

    ⚙ design vector databases⚙ select embedding models⚙ implement chunking strategies
  • google-gemini-embeddings - Generate Text Embeddings with Google Gemini Embeddings API
    embedding modelRAG systemssemantic searchvector database

    ★ 1,018 · Updated 2026-02-09

    Generate text embedding vectors using Gemini's gemini-embedding-001 model for semantic search and RAG systems

    ⚙ generate text embedding vectors⚙ process batch embeddings⚙ configure task types