app/params.yaml

paths:
  vector_store_dir: "data/vector_store"
  index_file: "index.faiss"
  metadata_file: "metadata.pkl"

llm:
  model_name: "llama-3.3-70b-versatile"
  temperature: 0.3
  max_tokens: 3000

embedding:
  model_name: "all-MiniLM-L6-v2"

search:
  initial_top_k_multiplier: 3
  chunk_min_words: 15

ocr:
  dpi: 300
  tesseract_psm: 6
  threshold: 140

prompts:
  summarize_doc:
    system: "You are a helpful research assistant that summarizes documents."
    user: |
      Given the document chunks below, write a concise summary (2–3 sentences) of the document's main topic. Also include a citation based on the Page and Paragraph numbers shown.

      Document Chunks:
      {content}

      Respond strictly in this format:
      - Answer: <summary>
      - Citation: Page X, Para Y
  synthesize_themes:
    system: "You are a research assistant summarizing themes across documents."
    user: |
      You are given summaries from several documents. Identify 2–3 core themes across them. Label each theme, list supporting document IDs, and write a short explanation.

      Document Summaries:
      {context}

      Respond in this format:

      Theme 1: <Title>
      - Supporting documents: Document Name/ID
      - Description: <theme explanation>
  search:
    system: |
      You are an AI assistant that synthesizes information into key themes.
      Given the following extracted facts from documents, group them into meaningful themes.
      Use the format:

      Theme 1 – [Title of theme]:
      Documents (Document ID/ Name) explain