opentelemetry

qdrant

The Qdrant plugin integrates the Qdrant vector database with the Genkit AI development framework. It enables developers to easily build retrieval-augmented generation (RAG) applications by providing standardized indexer and retriever components. ## Key Features - **Qdrant Integration** — Connects Genkit applications to Qdrant vector stores for efficient similarity search. - **Dual Language Support** — Offers implementations in both JavaScript and Go, catering to different tech stacks. - **Configurable Embedders** — Supports specifying embedding models (like Google AI's text-embedding-004) for vector generation. - **Flexible Payload Mapping** — Allows customization of payload field names for document content, metadata, and data types. - **Collection Management** — Provides options for Qdrant collection creation and client parameter configuration. ## Philosophy The plugin is designed to simplify the integration of powerful vector search capabilities into Genkit workflows, following Genkit's plugin architecture for modular and extensible AI application development.

azureaifoundry

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bedrock

Plugin for AWS Bedrock APIs