Knowledge Module

Handles ingestion, enrichment, storage, and retrieval of research knowledge.

Responsibilities

• Connect to external data sources / papers / datasets
• Chunking, embedding generation
• Vector + metadata store operations
• Retrieval + ranking interfaces

Planned Tech Stack (placeholder)

• Vector DB: (e.g. PostgreSQL + pgvector / Milvus / Pinecone)
• Embeddings: (e.g. OpenAI / local models)

Suggested Structure

knowledge/
  ingestion/
  processing/
  storage/
  retrieval/
  tests/

Roadmap

• Define ingestion pipeline contract
• Implement first retriever
• Caching & freshness policy

Ownership

See CODEOWNERS.