log_dir: '../storage/logs' # str
log_chunk_dir: '../storage/logs/chunks' # str
device: 'cpu' # str [cuda, cpu]

vectorstore:
  load_from_HF: True # bool
  reparse_files: True # bool
  data_path: '../storage/data' # str
  url_file_path: '../storage/data/urls.txt' # str
  expand_urls: True # bool
  db_option : 'RAGatouille' # str [FAISS, Chroma, RAGatouille, RAPTOR]
  db_path : '../vectorstores' # str
  model : 'sentence-transformers/all-MiniLM-L6-v2' # str [sentence-transformers/all-MiniLM-L6-v2, text-embedding-ada-002']
  search_top_k : 3 # int
  score_threshold : 0.2 # float

  faiss_params: # Not used as of now
    index_path: 'vectorstores/faiss.index' # str
    index_type: 'Flat' # str [Flat, HNSW, IVF]
    index_dimension: 384 # int
    index_nlist: 100 # int
    index_nprobe: 10 # int

  colbert_params:
    index_name: "new_idx" # str

llm_params: 
  llm_arch: 'langchain' # [langchain]
  use_history: True # bool
  generate_follow_up: False # bool
  memory_window: 3 # int
  llm_style: 'Normal' # str [Normal, ELI5]
  llm_loader: 'gpt-4o-mini' # str [local_llm, gpt-3.5-turbo-1106, gpt-4, gpt-4o-mini]
  openai_params:
    temperature: 0.7 # float
  local_llm_params:
    temperature: 0.7 # float
    repo_id: 'TheBloke/TinyLlama-1.1B-Chat-v1.0-GGUF' # HuggingFace repo id
    filename: 'tinyllama-1.1b-chat-v1.0.Q5_0.gguf' # Specific name of gguf file in the repo
    model_path: 'storage/models/tinyllama-1.1b-chat-v1.0.Q5_0.gguf' # Path to the model file
  stream: False # bool
  pdf_reader: 'gpt' # str [llama, pymupdf, gpt]

chat_logging:
  log_chat: True # bool
  platform: 'literalai'
  callbacks: True # bool

splitter_options:
  use_splitter: True # bool
  split_by_token : True # bool
  remove_leftover_delimiters: True # bool
  remove_chunks: False # bool
  chunking_mode: 'semantic' # str [fixed, semantic]
  chunk_size : 300 # int
  chunk_overlap : 30 # int
  chunk_separators : ["\n\n", "\n", " ", ""] # list of strings
  front_chunks_to_remove : null # int or None
  last_chunks_to_remove : null # int or None
  delimiters_to_remove : ['\t', '\n', '   ', '  '] # list of strings