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Overview

Ragpi supports multiple Large Language Model (LLM) providers for chat and embedding generation. Each provider can be configured using specific environment variables.

Choosing a Provider​

You can specify which providers to use via environment variables:

CHAT_PROVIDER = openai | ollama | deepseek | openai_compatible
EMBEDDING_PROVIDER = openai | ollama | openai_compatible

Each provider has its own set of configuration options. You can find the configuration options for each provider under their respective pages.

General Configuration​

Model Configuration​

  • Chat Model:

    • Set default chat model: DEFAULT_CHAT_MODEL (e.g., gpt-4o)
    • Can be overridden in chat request payload using model field

    Note: For chat providers, only models that support tool/function callings are supported.

  • Embedding Model:

    • Configure via EMBEDDING_MODEL (e.g., text-embedding-3-small)
    • Ensure EMBEDDING_DIMENSIONS matches your model's output (e.g., EMBEDDING_DIMENSIONS=1536)

Chat Configuration​

  • History Limit:

    • Maximum number of messages retained in the chat history and sent to the model.
    • Controlled by CHAT_HISTORY_LIMIT (default: 20).

  • Max Chat Iterations:

    • Maximum steps allowed for generating a response
    • Controlled by MAX_CHAT_ITERATIONS (default: 5).