config.yml

# true if you use AzureOpenAI, false if you use OpenAI
azure_openai: false
# OpenAI embedding model to use. Only relevant if you don't work with AzureOpenAI
embedding_model: "text-embedding-ada-002"
# OpenAI llm model to use. Only relevant if you don't work with AzureOpenAI
llm: "gpt-3.5-turbo"

# Path to the existing vectorstore
vectorstore_dir: "data/vectorstore"
# Name of the existing vectorstore (and the index)
vectorstore_name: "belgium"

# Location of data that is included in the vectorstore
raw_dir: "data/raw"

#Location of data to be added to the vectorstore
extension_dir: "data/extension"
#Desired chunk size
chunk_size: 1000
#Amount of overlap between subsequent chunks
chunk_overlap: 0
#Extension of documents in raw_dir and extension_dir
extension: txt

# Number of most similar documents to retrieve for each chunk
nb_retrieval_docs: 4
# System message for the retrieval prompt
system_message: |
  Please analyze the given documents and compare them with the new document to identify any contradictions.
  Note that in detecting contradictions, only instances where the new document directly contradicts information present in the provided documents
  should be considered. If the new document introduces new information not mentioned in the other documents, it should not be treated as a contradiction.
  Documents:
  {summaries}
  --------------------
# User message for the retrieval prompt
user_message: |
  New document:
  {question}
  --------------------
  Contradictions (if any):
    - contradiction 1: reason + document source link in contradiction
    - contradiction 2: reason + document source link in contradiction
    ...
  If you do not find any contradiction start your answer with "CONSISTENT".
  Provide a detailed analysis of your reasonings.