LlamaCPP

[pjbruno327]

Is there a way to swap the OpenAI LLM with llamaCPP to use rag with multiple documents?

[dosubot[bot]]

🤖

Hello @pjbruno327,

I'm a friendly bot here to assist with your issues and concerns related to the LlamaIndex repository. While we wait for a human maintainer, I'll do my best to help with bug fixes, answer your questions, and help you become a contributor. Let's go ahead and dive into your issue.

Yes, it is possible to swap the OpenAI LLM with llamaCPP in the LlamaIndex codebase. The LlamaIndex codebase is designed to work with multiple language learning models (LLMs), including OpenAI LLM and llamaCPP.

To use llamaCPP instead of OpenAI LLM, you need to initialize the LlamaCPP class with the appropriate parameters. Here is an example of how to do this:

llama_cpp = LlamaCPP(model_url="https://huggingface.co/TheBloke/Llama-2-13B-chat-GGML/resolve/main/llama-2-13b-chat.ggmlv3.q4_0.bin")

In this example, the LlamaCPP class is initialized with a specific model URL. The class will download the model from the provided URL and use it for generating responses. Please note that you need to have the llamaCPP library installed to use this class. If the library is not installed, the class will raise an ImportError with instructions on how to install the library.

As for using the RAG (Retrieval-Augmented Generation) model with multiple documents, I wasn't able to find a direct answer within the repository. However, the LlamaIndex codebase provides several techniques for integrating the LlamaCPP class with multiple documents using the RAG model. These techniques include decoupling chunks used for retrieval vs. chunks used for synthesis, structured retrieval for larger document sets, dynamically retrieving chunks depending on your task, and optimizing context embeddings. You can find more details about these techniques in the production_rag.md document in the repository.

I hope this helps! If you have any further questions or need more clarification, please let me know.

Sources

• llama_index/llms/openai.py
• llama_index/llms/llama_cpp.py
• docs/optimizing/production_rag.md

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[pjbruno327]

When replacing the OpenAI model, do I still use LLM = llamacpp or would I use llamacpp = llamacpp ?