paperetl
nlm-ingestor
| paperetl | nlm-ingestor | |
|---|---|---|
| 12 | 3 | |
| 316 | 810 | |
| 4.4% | 10.6% | |
| 6.3 | 7.1 | |
| 5 months ago | 16 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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paperetl
- Show HN: Open-source Rule-based PDF parser for RAG
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Oracle of Zotero: LLM QA of Your Research Library
Nice project!
I've spent quite a lot of time in the medical/scientific literature space. With regards to LLMs, specifically RAG, how the data is chunked is quite important. With that, I have a couple projects that might be beneficial additions.
paperetl (https://github.com/neuml/paperetl) - supports parsing arXiv, PubMed and integrates with GROBID to handle parsing metadata and text from arbitrary papers.
paperai (https://github.com/neuml/paperai) - builds embeddings databases of medical/scientific papers. Supports LLM prompting, semantic workflows and vector search. Built with txtai (https://github.com/neuml/txtai).
While arbitrary chunking/splitting can work, I've found that integrating parsing that has knowledge of medical/scientific paper structure increases the overall accuracy and experience of downstream applications.
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[P] Parse research papers into structured data
paperai | paperetl
- Parse research papers into a structured dataset
- ETL for medical and scientific papers
- Show HN: ETL for Medical and Scientific Papers
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Seeking Advice: How to extract Abstract from scientific journals (.pdfs) 10k+.
paperai and paperetl are a set of projects to consider for this task.
- paperetl: ETL processes for medical and scientific papers
nlm-ingestor
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Pg_vectorize: The simplest way to do vector search and RAG on Postgres
>tree-based approach to organize and summarize text data, capturing both high-level and low-level details.
https://twitter.com/parthsarthi03/status/1753199233241674040
processes documents, organizing content and improving readability by handling sections, paragraphs, links, tables, lists, page continuations, and removing redundancies, watermarks, and applying OCR, with additional support for HTML and other formats through Apache Tika:
https://github.com/nlmatics/nlm-ingestor
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Show HN: Open-source Rule-based PDF parser for RAG
Here's another notebook from the repo with examples: https://github.com/nlmatics/nlm-ingestor/blob/main/notebooks...
What are some alternatives?
SciencePlots - Matplotlib styles for scientific plotting
llmsherpa - Developer APIs to Accelerate LLM Projects
tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
txtai - 💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows
ciscoconfparse - Parse, Audit, Query, Build, and Modify Cisco IOS-style configurations.
SemanticSlicer - A recursive text chunker that attempts to preserve context.
paperai - 📄 🤖 Semantic search and workflows for medical/scientific papers
rdm - Our regulatory documentation manager. Streamlines 62304, 14971, and 510(k) documentation for software projects.
dagster - An orchestration platform for the development, production, and observation of data assets.
science-parse - Science Parse parses scientific papers (in PDF form) and returns them in structured form.
covid19 - Super Fast COVID-19 Dashboard and parser