magnitude VS paperai

Compare magnitude vs paperai and see what are their differences.

paperai

📄 🤖 Semantic search and workflows for medical/scientific papers (by neuml)
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magnitude paperai
5 19
1,609 1,179
-0.2% 3.5%
0.0 5.9
8 months ago 4 months ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

magnitude

Posts with mentions or reviews of magnitude. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-23.

paperai

Posts with mentions or reviews of paperai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-26.
  • Oracle of Zotero: LLM QA of Your Research Library
    5 projects | news.ycombinator.com | 26 Nov 2023
    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.

  • Build Personal ChatGPT Using Your Data
    14 projects | news.ycombinator.com | 8 Jul 2023
    https://github.com/neuml/paperai

    Disclaimer: I am the author of both

  • [P] Parse research papers into structured data
    2 projects | /r/MachineLearning | 28 Jan 2023
    paperai | paperetl
  • # Run txtai in native code
    7 projects | dev.to | 11 Jul 2022
    action: translate input: txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. output: txtai exécute des workflows d'apprentissage automatique pour transformer les données et construire des applications de recherche sémantique alimentées par l'IA. action: translate input: Traditional search systems use keywords to find data output: Les systèmes de recherche traditionnels utilisent des mots-clés pour trouver des données action: summary input: https://github.com/neuml/txtai output: txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications. Semantic search applications have an understanding of natural language and identify results that have the same meaning, not necessarily the same keywords. API bindings for JavaScript, Java, Rust and Go. Cloud-native architecture scales out with container orchestration systems (e. g. Kubernetes) action: summary input: https://github.com/neuml/paperai output: paperai is an AI-powered literature discovery and review engine for medical/scientific papers. Paperai was used to analyze the COVID-19 Open Research Dataset (CORD-19) paperai and NeuML have been recognized in the following articles: Cord-19 Kaggle Challenge Awards Machine-Learning Experts Delve Into 47,000 Papers on Coronavirus Family. real 0m22.478s user 0m13.776s sys 0m3.218s
  • Seeking Advice: How to extract Abstract from scientific journals (.pdfs) 10k+.
    5 projects | /r/LanguageTechnology | 3 Jun 2022
    paperai and paperetl are a set of projects to consider for this task.
    5 projects | /r/LanguageTechnology | 3 Jun 2022
    The best source of information right now is https://github.com/neuml/paperai
  • Extract text from documents
    5 projects | dev.to | 27 Mar 2021
    ['Introducing txtai, an AI-powered search engine built on Transformers Add Natural Language Understanding to any application Search is the base of many applications.', 'Once data starts to pile up, users want to be able to find it.', 'It’s the foundation of the internet and an ever-growing challenge that is never solved or done.', 'The field of Natural Language Processing (NLP) is rapidly evolving with a number of new developments.', 'Large-scale general language models are an exciting new capability allowing us to add amazing functionality quickly with limited compute and people.', 'Innovation continues with new models and advancements coming in at what seems a weekly basis.', 'This article introduces txtai, an AI-powered search engine that enables Natural Language Understanding (NLU) based search in any application.', 'Introducing txtai txtai builds an AI-powered index over sections of text.', 'txtai supports building text indices to perform similarity searches and create extractive question-answering based systems.', 'txtai also has functionality for zero-shot classification.', 'txtai is open source and available on GitHub.', 'txtai and/or the concepts behind it has already been used to power the Natural Language Processing (NLP) applications listed below: • paperai — AI-powered literature discovery and review engine for medical/scientific papers • tldrstory — AI-powered understanding of headlines and story text • neuspo — Fact-driven, real-time sports event and news site • codequestion — Ask coding questions directly from the terminal Build an Embeddings index For small lists of texts, the method above works.', 'But for larger repositories of documents, it doesn’t make sense to tokenize and convert all embeddings for each query.', 'txtai supports building pre- computed indices which significantly improves performance.', 'Building on the previous example, the following example runs an index method to build and store the text embeddings.', 'In this case, only the query is converted to an embeddings vector each search.', 'https://github.com/neuml/codequestion https://neuspo.com/ https://github.com/neuml/tldrstory https://github.com/neuml/paperai Introducing txtai, an AI-powered search engine built on Transformers Add Natural Language Understanding to any application Introducing txtai Build an Embeddings index']
  • Build an Embeddings index from a data source
    2 projects | dev.to | 17 Feb 2021
    This example covers functionality found in the paperai library. See that library for a full solution that can be used with the dataset discussed below.
  • [P] Extractive Question-Answering with disparate text
    2 projects | /r/MachineLearning | 7 Feb 2021
    paperai is an example application that uses this module to find answers to questions in medical/scientific papers.
  • Tutorial series on txtai
    8 projects | dev.to | 28 Jan 2021
    paperai - AI-powered literature discovery and review engine for medical/scientific papers

What are some alternatives?

When comparing magnitude and paperai you can also consider the following projects:

txtai - đź’ˇ All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.

flashtext - Extract Keywords from sentence or Replace keywords in sentences.

faiss - A library for efficient similarity search and clustering of dense vectors.

SciencePlots - Matplotlib styles for scientific plotting

sentence-transformers - Multilingual Sentence & Image Embeddings with BERT

scibert - A BERT model for scientific text.

finalfusion-rust - finalfusion embeddings in Rust

science-parse - Science Parse parses scientific papers (in PDF form) and returns them in structured form.

grobid - A machine learning software for extracting information from scholarly documents

pgvector - Open-source vector similarity search for Postgres