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Configuration#

The default parameters of the app can be set up in the config.yaml

Some of the most important parameters are explained here:

  • Embedding model: An embedding model can be set for the news data and the SEC filing separately.
  • Similarity Top K: This setting determines how many of similar chunks of data are sent to the LLM to solve the task.
  • LLM Provider: Mainly choose groq or openai for providing LLM model. HuggingFace support is not recommended because larger models are generally not available.
  • LLM Model: The LLM to be used for the agents in the crew and the query engines. The default is llama3-8b-8192 from groq.
  • LLM Temperature: This controls the randomness of an LLM. 0 is more deterministic, while 1 is more random.
  • LLM Max tokens: Limit for the number of tokens to be generated by the LLM.
  • tickers_market_cap_exclude: The market cap categories that are excluded from the financedatabase table for picking ticker.