Results for azure_search_documents

Microsoft Corporation Azure Search Documents Client Library for Python

This is the Azure Cognitive Search client library for developing .NET applications with rich search experiences. It enables you to query your indexes, update documents in your indexes, and manage indexes, synonym maps, indexers, data sources, or other service-level resources.

Cross-platform MCP (Model Context Protocol) proxy tool

Rust task runner and build tool.

Ingest data from Jira, Confluence, and more directly into Azure AI Search

AvilaDB - Globally distributed NoSQL database optimized for Brazil and LATAM

Semantic JSON diffing with identity-key-based array matching

Universal Data Broker — a Rust gRPC broker over multiple databases (Postgres, MySQL, SQLite, MongoDB, ClickHouse, Cassandra, MSSQL, Redis, Qdrant, S3, Neo4j, …) with per-tenant RLS, 2PC, sagas, and CDC.

Azure AI Search and Microsoft Foundry REST API client and authentication for rigg

Core resource types, configuration, and JSON normalization for rigg

Azure AI Search client library for Rust

Build LLM applications in Rust with type safety: chains, agents, RAG, LangGraph, embeddings, vector stores, and 20+ document loaders. A LangChain port supporting OpenAI, Claude, Gemini, Mistral, Bedrock, Ollama, and more. Includes streaming, structured output, and multi-agent (Deep Agent) workflows.

LanceDB integration for LumosAI vector storage - high-performance columnar vector database