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llama-index packs rag cli local integration

Project description

RAG Local CLI Pack

This LlamaPack implements a fully local version of our RAG CLI, with Mistral (through Ollama) and BGE-M3.

CLI Usage

You can download llamapacks directly using llamaindex-cli, which comes installed with the llama-index python package:

llamaindex-cli download-llamapack LocalRAGCLIPack --download-dir ./local_rag_cli_pack

You can then inspect the files at ./local_rag_cli_pack and use them as a template for your own project!

Code Usage

You can download the pack to a directory. NOTE: You must specify skip_load=True - the pack contains multiple files, which makes it hard to load directly.

We will show you how to import the agent from these files!

from llama_index.core.llama_pack import download_llama_pack

# download and install dependencies
download_llama_pack("LocalRAGCLIPack", "./local_rag_cli_pack", skip_load=True)

From here, you can use the pack. The most straightforward way is through the CLI. You can directly run base.py, or run the setup_cli.sh script.

cd local_rag_cli_pack

# option 1
python base.py rag -h

# option 2 - you may need sudo
# default name is lcli_local
sudo sh setup_cli.sh
lcli_local rag -h

You can also directly get modules from the pack.

from local_rag_cli_pack.base import LocalRAGCLIPack

pack = LocalRAGCLIPack(
    verbose=True, llm_model_name="mistral", embed_model_name="BAAI/bge-m3"
)
# will spin up the CLI
pack.run()

# get modules
rag_cli = pack.get_modules()["rag_cli"]
rag_cli.cli()

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