Results for “semantic-search”
8 skills
microsoft azure-search-documents-ts
Build search applications with vector, hybrid, and semantic search using the Azure AI Search SDK for TypeScript.
2.7k · bundle
microsoft azure-search-documents-dotnet
Build search applications with full-text, vector, semantic, and hybrid search using the Azure AI Search SDK for .NET.
2.7k · bundle
microsoft azure-search-documents-py
Search Azure AI Search indexes using the Python SDK for full-text, vector, hybrid, and semantic search with AI enrichment.
2.7k · bundle
More results
orchestra-research qdrant-vector-search
Build production RAG and semantic search systems with a high-performance vector database written in Rust, supporting hybrid search, filtering, and horizontal scaling.
10.4k · bundle
orchestra-research pinecone
Provides code examples and best practices for using Pinecone, a managed vector database for production RAG, recommendation, and semantic search applications.
10.4k · bundle
antigravity weaviate
Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references.
42.4k · bundle
orchestra-research chroma
Store and query embeddings with metadata filtering, vector search, and full-text search using an open-source database that scales from notebooks to production.
10.4k · bundle
antigravity mesh-memory
Provides persistent, self-hosted semantic memory for AI agents via MCP, storing worklogs, decisions, and notes in PostgreSQL with pgvector for meaning-based retrieval across sessions.
42.4k