pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
zilliztech/attu
Attu is a comprehensive, AI-native graphical user interface for interacting with and managing Milvus vector databases. It allows users to connect to multiple Milvus clusters from a single instance, facilitating the management of various environments like development, staging, and production. Key features include a robust data explorer for browsing collections, viewing/editing data, and importing/exporting in multiple formats (CSV, JSON, Parquet). For core vector operations, Attu provides interactive vector similarity search capabilities, configurable with various embedding providers such as OpenAI, Cohere, and others. A standout feature is its AI Agent, an LLM-powered assistant that enables chat-driven Milvus management, allowing users to create collections, run queries, and analyze performance using natural language. The tool also incorporates extensive cluster administration features, including real-time health monitoring, Prometheus metrics dashboards, topology visualization, and role-based access control. For data integrity and operational efficiency, Attu supports full and incremental backups to cloud storage (S3, MinIO, GCS, Azure Blob Storage), a task queue for long-running operations, and a REST API playground for interactive testing. It's available as both a web application (Docker/Kubernetes) and desktop clients (macOS, Linux, Windows).
https://github.com/zilliztech/attu
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