gitinsp.domain.interfaces.infrastructure

Service for managing vector database collections and AI services Provides caching and lifecycle management for RAG components

Factory trait for creating chat models from different providers. This abstraction allows for switching between different model implementations (Ollama, Gemini).

Service for formatting content in different ways, particularly for converting plain text to HTML for display in web interfaces.

Service for handling HTTP communication with external resources Provides a generic interface for fetching content from URLs with configurable parameters

Service for interacting with GitHub repositories Provides functionality to fetch and build repository models for indexing and content retrieval

Strategy for preprocessing and preparing documents for vector database ingestion Implements different approaches for transforming and splitting content based on content type

Factory for creating document ingestion strategies Provides a mechanism to select and configure different document processing approaches

Strategy interface for determining which retrievers to use for a given query. Enables different routing strategies to be implemented and swapped at runtime.

Factory for creating components of the Retrieval Augmented Generation (RAG) pipeline Provides methods to instantiate and configure all necessary elements for vector search, document ingestion, query processing, and AI-assisted retrieval