repoGitHubTrust 82 · PrimaryPublished 8d agoLive · 8d ago
parsee-ai/parsee-core
Retrieval of fully structured data made easy. Use LLMs or custom models. Specialized on PDFs and HTML files. Extensive support of tabular data extraction and multimodal queries.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 56%A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers - Towards Data Science →
- PossiblePossibly related (embedding) · 56%Launch HN: Parsewise (YC P25) – Reason Across Documents with an API →
- PossiblePossibly related (embedding) · 52%Loop Engineering with Adaptive Parsing in Action: Parsing Flat Tables with Azure and Figures with a Vision LLM - towardsdatascience.com →
- PossiblePossibly related (embedding) · 48%Set up a retrieval pipeline →
- PossiblePossibly related (embedding) · 51%Cohere Parse 5 loses the benchmark on points. It wins on cost per page. →
Covers
newsA Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers - Towards Data SciencenewsLaunch HN: Parsewise (YC P25) – Reason Across Documents with an APInewsLoop Engineering with Adaptive Parsing in Action: Parsing Flat Tables with Azure and Figures with a Vision LLM - towardsdatascience.com
Related to
Covers (incoming)
Related across the graph
newsLaunch HN: Parsewise (YC P25) – Reason Across Documents with an APInewsA Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers - Towards Data SciencetutorialSet up a retrieval pipelinenewsCohere Parse 5 loses the benchmark on points. It wins on cost per page.newsLoop Engineering with Adaptive Parsing in Action: Parsing Flat Tables with Azure and Figures with a Vision LLM - towardsdatascience.com