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• Milestone 7: Evaluation and Deployment of the RAG retrieval

  Evaluation and Deployment of the whole RAG system for paper recommendation.

  No due date

  •3/3 issues closed
  100% complete0 open3 closed

• Milestone 6: Documentation & Academic Justification

  Write comprehensive README; document system limitations and future work such as full-text usage, citation graphs, feedback learning.

  No due date

  •5/5 issues closed
  100% complete0 open5 closed

• Milestone 5: Interface and Presentation

  Implement minimal API or CLI interface; format output to include Title, Paper ID, Venue, Similarity score; ensure readability.

  No due date

  •5/5 issues closed
  100% complete0 open5 closed

• Milestone 4: Retrieval and Aggregation

  Embed reformulated queries; perform vector similarity search; aggregate and rank results.

  No due date

  •3/3 issues closed
  100% complete0 open3 closed

• Milestone 3: Query Interpretation & Reformulation

  Implement query type detection, fetch paper abstracts for paper ID queries, and design and apply LLM-based query reformulation.

  No due date

  •9/9 issues closed
  100% complete0 open9 closed

• Milestone 2: Embedding and Vector Storage

  Select embedding model and vector database; generate and store embeddings with metadata.

  No due date

  •6/6 issues closed
  100% complete0 open6 closed

• Milestone 1: ACL Anthology Data Ingestion

  Implement data ingestion by fetching ACL Anthology metadata and abstracts, and cleaning and normalizing abstracts.

  No due date

  •3/3 issues closed
  100% complete0 open3 closed

• Milestone 0: Project Setup & Ground Rules

  Define project scope, assumptions, and non-goals. Set up repository structure and conventions.

  No due date

  •1/1 issues closed
  100% complete0 open1 closed