Skills tagged "hybrid search"

azure-search-documents-py - Use Python SDK for Azure AI Search
Azure AI Search Python SDK vector search hybrid search
★ 288 · Updated 2026-09-29
Use the Azure AI Search Python SDK for full-text, vector, hybrid, semantic search, indexing, and AI enrichment.
⚙ Create search indexes ⚙ Configure vector search ⚙ Upload documents
azure-search-documents-py - Azure AI Search SDK for Python
Azure AI Search Python SDK vector search
★ 0 · Updated 2026-09-28
Use the Azure AI Search Python SDK to create indexes, manage documents, run keyword, vector, hybrid, and semantic searches, and configure skillsets.
⚙ Create and manage indexes ⚙ Upload and manage documents ⚙ Run keyword searches
azure-search-documents-py - Build Azure AI Search solutions in Python
Azure AI Search Python SDK vector search hybrid search
★ 0 · Updated 2026-09-28
Use the Azure AI Search Python SDK for indexing, keyword, vector, hybrid, semantic, and AI-enriched search.
⚙ Create search indexes ⚙ Upload and manage documents ⚙ Run keyword searches
using-vector-databases - Implement vector search and RAG systems
vector databases semantic search RAG embeddings
★ 0 · Updated 2026-09-28
Provides implementation guidance for vector databases, semantic search, embeddings, chunking, hybrid retrieval, and RAG pipelines.
⚙ Select vector databases ⚙ Generate document embeddings ⚙ Design chunking strategies
azure-search-documents-dotnet - Azure AI Search SDK for .NET
search vector search semantic search Azure
★ 650 · Updated 2026-06-15
Build search applications with full-text, vector, semantic, and hybrid search capabilities
⚙ query indexes ⚙ upload documents ⚙ update documents
dba-vectordb - Vector Database Administration Agent
vector database pgvector semantic search RAG
★ 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
hybrid-retrieval - Combine Vector and Keyword Search for Better RAG
RAG retrieval hybrid search BM25
★ 5 · Updated 2026-03-26
Combine dense vector search and sparse keyword retrieval for improved RAG results
⚙ perform dense vector search ⚙ execute sparse keyword search ⚙ merge retrieval results
graphrag-patterns - GraphRAG Patterns for Neo4j RAG Workflows
GraphRAG hybrid search Text2Cypher agentic retrieval
★ 650 · Updated 2026-03-10
Implementation patterns for GraphRAG including hybrid search, Text2Cypher, and agentic retrieval with Neo4j
⚙ search articles by vector ⚙ search articles by keyword ⚙ execute Cypher query