Modules

Orichain is built around four core modules, each designed to provide flexibility and simplicity for building Retrieval-Augmented Generation (RAG) workflows. All modules offer both synchronous and asynchronous implementations to suit your application’s needs.

Core Modules Overview:

• Embedding Model Generate vector embeddings from your text data to enable similarity search and retrieval tasks.

• LLM (Large Language Model) Interface with large language models for text generation, question answering, tool calling, and more.

• Knowledge Base A structured interface for retrieving relevant documents efficiently.

• Language Detector Detect the language of user input with configurable options to suit your domain.

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API Reference

Explore the detailed API reference for each module below:

Contents:

• orichain.embeddings
  • EmbeddingModel
  • AsyncEmbeddingModel
• orichain.llm
  • LLM
  • AsyncLLM
• orichain.knowledge_base
  • KnowledgeBase
  • AsyncKnowledgeBase
• orichain.lang_detect
  • LanguageDetection
  • AsyncLanguageDetection