TheMcSebi

from ragatouille import RAGPretrainedModel
import json, cmd, ollama # pip install ollama

# first, install ollama:
#   curl -fsSL https://ollama.com/install.sh | sh
# second, download llama2:chat:
#   ollama run llama2:chat

llm = "llama2:chat"
llm_context_size = 8192

TheMcSebi

from ragatouille import RAGPretrainedModel
import os, glob

RAG = RAGPretrainedModel.from_pretrained("colbert-ir/colbertv2.0")

def create_document_corpus(folderpath: str, filetype: str = "txt"):
    my_documents = []
    document_ids = []
    document_metadatas = []
    for i, filepath in enumerate(glob.glob(os.path.join(folderpath, f"**/*.{filetype}"), recursive=True)):

TheMcSebi

# ported from c to python only using github copilot (no google)

from ctypes import windll
from ctypes import c_int
from ctypes import c_uint
from ctypes import c_ulong
from ctypes import POINTER
from ctypes import byref

nullptr = POINTER(c_int)()