PDF CHAT BOT with a local llm

this it just a test using wafflecomposite/langchain-ask-pdf-local but with oobabooga/text-generation-webui api, all run locally

manage to get better result using a smaller text chunk (main.py line 47)

# Split the text into chunks
        text_splitter = CharacterTextSplitter(
            separator="\n", chunk_size=500, chunk_overlap=250, length_function=len
        )

if answer are incomplete then edit max new token to a bigger value (class.py line 17) and ask again

'max_new_tokens': 500,

uses miniconda env installer from oobabooga, no need to install conda

1. clone repository ( dont use path with space ; ie: "C:\Users\Admin\IA Apps" instead use something like "C:\Users\Admin\IA_Apps" )
2. open start_windows.bat
3. open install_requirements.bat

1. start your oobabooga-api

you can use cmd_windowds.bat located in oobabooga folder (only --api matters, edit class.py if using not default port for api)

cd text-generation-webui
python server.py --auto-devices --model-menu --api

2. open start_windows.bat

using flax-sentence-embeddings/all_datasets_v4_MiniLM-L6, will download on first run (only one that worked, idk much about it)

100% not my code, i just copy - paste

main code by wafflecomposite/langchain-ask-pdf-local

webui class by ChobPT/oobaboogas-webui-langchain_agent

conda env files by oobabooga/text-generation-webui (i just like using them)