arx-agent
AI research assistant that helps developers and researchers quickly understand arXiv papers using ingestion, chunking, embeddings, and retrieval-augmented results.
Problem: Reading and extracting useful context from research PDFs is slow and difficult to operationalize in downstream AI workflows.
Solution: Built a pipeline that ingests PDFs, performs page or chunk level splitting, stores embeddings with metadata, and retrieves relevant chunks for prompt augmentation.
Impact: Speeds up literature exploration and provides structured context for agentic and LLM-driven research tasks.
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