paper-qa and ask-pdf
These are competitors: both implement RAG pipelines for PDF question-answering with vector databases and LLMs, but paper-qa differentiates through scientific document optimization and citation generation while ask-pdf offers a simpler general-purpose implementation.
About paper-qa
Future-House/paper-qa
High accuracy RAG for answering questions from scientific documents with citations
Implements agentic RAG with iterative query refinement and LLM-based re-ranking, automatically enriches documents with metadata (citations, journal quality) from Semantic Scholar and Crossref, and supports multiple document formats (PDFs, text, code, Office files) with full-text search via tantivy. Integrates with any LiteLLM-supported model provider and offers local embedding alternatives, enabling deployment without proprietary APIs.
About ask-pdf
ralphcajipe/ask-pdf
A RAG Application to Ask Questions from a PDF Document using Large Language Models and Vector Database
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