Module swiftide::integrations

Integrations with various platforms and external services.

Modules

• aws_bedrock
  An integration with the AWS Bedrock service.
• fastembed
  FastEmbed integration for text embedding.
• fluvio
  Fluvio is a real-time streaming data transformation platform.
• groq
  This module provides integration with Groq’s API, enabling the use of language models within the Swiftide project. It includes the Groq struct for managing API clients and default options for prompt models. The module is conditionally compiled based on the “groq” feature flag.
• lancedb
• ollama
  This module provides integration with Ollama’s API, enabling the use of language models and embeddings within the Swiftide project. It includes the Ollama struct for managing API clients and default options for embedding and prompt models. The module is conditionally compiled based on the “ollama” feature flag.
• openai
  This module provides integration with OpenAI’s API, enabling the use of language models and embeddings within the Swiftide project. It includes the OpenAI struct for managing API clients and default options for embedding and prompt models. The module is conditionally compiled based on the “openai” feature flag.
• qdrant
  This module provides integration with the Qdrant vector database. It includes functionalities to interact with Qdrant, such as creating and managing vector collections, storing data, and ensuring proper indexing for efficient searches.
• redis
  This module provides the integration with Redis for caching nodes in the Swiftide system.
• scraping
  Scraping loader using and html to markdown transformer
• treesitter
  Chunking code with tree-sitter and various tools