swirl-search
spaCy
| swirl-search | spaCy | |
|---|---|---|
| 32 | 107 | |
| 1,542 | 28,849 | |
| 4.3% | 1.0% | |
| 9.8 | 9.2 | |
| 10 days ago | 14 days ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
swirl-search
- GitHub - swirlai/swirl-search: Swirl is an open-source search platform that uses AI to search multiple content and data sources simultaneously, finds the best results using a reader LLM, then prompts Generative AI, enabling you to get answers based on your data.
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Swirl Security Overview
Understanding an Open Source Search Platform: Swirl
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Swirl Search: Open Source Enterprise Search 🔍 to Securely 🔐 Search your Data.
Give ⭐ to Swirl on GitHub
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These 5 Open Source AI Startups are changing the AI Landscape
Star Swirl on GitHub and become part of this exciting AI search evolution! 🌟
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[Python 🐍 Mastery] Overview of Linked List in Python & Essential Linked List Operations 🛠️
Swirl is an open-source Python project. Contributing to Swirl can help you gain production-level knowledge of Python and improve your skills.
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[Python 🐍 Mastery] Python's Object-Oriented Programming Overview and Fundamentals ⭐️
Note: This is not how you write a search engine. There's a lot more stuff that goes into it. If you want to know more, check this GitHub Repository:github.com/swirlai/swirl-search
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Contribute to Swirl this Hacktoberfest. Win Swags up to $100
Give Swirl a Star 🌟 on GitHub. To receive updates from discussions and releases. Click on the image
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Running Swirl Search🌌in an instant on Gitpod🌐💻and GitHub Codespaces🌩️🚀
Swirl is an open-source search engine which is built using Python and Django. Things which makes Swirl more special is that individual developers and organizations can use Swirl without paying single penny and even customize the search results by connecting to Database (E.g. SQL, NoSQL), Public Data Services (E.g. Google) and Enterprise Sources (E.g. Jira). GitHub Link: https://github.com/swirlai/swirl-search
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Your full guide to contributing to SWIRL 🌌
Hello Devs, The team at Swirl has created this amazing guide which contains all the relevant information for anyone who wants to extend Swirl by adding SearchProviders, Connectors, and Processors.
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7 Open-Source Search Engines for your Enterprise and Startups you MUST know.
Swirl is an open-source search platform software that simultaneously searches multiple content sources and returns AI-ranked results. You can also use Generative AI Models to get answers based on your data. It’s written in Python.
spaCy
- How I discovered Named Entity Recognition while trying to remove gibberish from a string.
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Step by step guide to create customized chatbot by using spaCy (Python NLP library)
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
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Best AI SEO Tools for NLP Content Optimization
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging.
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Who has the best documentation you’ve seen or like in 2023
spaCy https://spacy.io/
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A beginner’s guide to sentiment analysis using OceanBase and spaCy
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy.
- Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers
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Against LLM Maximalism
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post.
The steps described in "LLM pragmatism" are basically what I see my data science friends doing — it's hard to justify the cost (money and latency) in using LLMs directly for all tasks, and even if you want to you'll need a baseline model to compare against, so why not use LLMs for dataset creation or augmentation in order to train a classic supervised model?
[0] https://spacy.io/
[1] https://prodi.gy/
- Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
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How to predict this sequence?
spaCy
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What do you all think about (setq sentence-end-double-space nil)?
I chose spacy. Although it's not state of the art, it's very well established and stable.
What are some alternatives?
khoj - Your AI second brain. A copilot to get answers to your questions, whether they be from your own notes or from the internet. Use powerful, online (e.g gpt4) or private, local (e.g mistral) LLMs. Self-host locally or use our web app. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
solr - Apache Solr open-source search software
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
NLTK - NLTK Source
Resume-Matcher - Resume Matcher is an open source, free tool to improve your resume. It works by using language models to compare and rank resumes with job descriptions.
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
lambdapi - Serverless runtime environment tailored for code produced by LLMs. Automatic API generation from your code, support for multiple programming languages, and integrated file and database storage solutions.
polyglot - Multilingual text (NLP) processing toolkit
distilabel - ⚗️ distilabel is a framework for synthetic data and AI feedback for AI engineers that require high-quality outputs, full data ownership, and overall efficiency.
textacy - NLP, before and after spaCy