QDrant-NLP VS NeoGPT

Compare QDrant-NLP vs NeoGPT and see what are their differences.

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QDrant-NLP NeoGPT
1 1
11 55
- -
10.0 9.5
over 1 year ago 6 days ago
Python Python
- MIT License
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.

QDrant-NLP

Posts with mentions or reviews of QDrant-NLP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-26.
  • Vector Databases for Data-Centric AI (Part 2)
    3 projects | dev.to | 26 Aug 2022
    Just clone the repo QDrant-NLP and run: docker-compose up I would like to increase the number of datasets this can be tried on, either with GPU backed lambda functions or by saving many example datasets to S3. So far I've only made a 6K subset of ag_news available. ag_news ยท Datasets at Hugging Face This is the code snippet used to generate the embeddings via hugging-face:

NeoGPT

Posts with mentions or reviews of NeoGPT. We have used some of these posts to build our list of alternatives and similar projects.
  • HacktoberRest
    1 project | dev.to | 1 Nov 2023
    One of the most interesting projects I came across this month was NeoGPT. It's a GPT based application that is being built to converse with documents and videos. While still in its infancy, the project has outlined a cool roadmap and has a very active base of contributors continuously expanding on its functionality. The project appeals to my desire to learn how to work with AI and neural networks. It is also at a development stage that it is not outside of the reach of my comprehension. Icing on the cake being it's Py based, which is my sharpest tool at the moment. I see it as a decent project to stay tapped into and grow my skills as the application develops.

What are some alternatives?

When comparing QDrant-NLP and NeoGPT you can also consider the following projects:

refinery - The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

open-webui - User-friendly WebUI for LLMs (Formerly Ollama WebUI)

fiftyone - The open-source tool for building high-quality datasets and computer vision models

llmware - Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.

apolloapi - Repository tracking all Apollo repositories as submodules. Mirror of code maintained at github.com/apolloapi. Topics Resources

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.

random-num-using-time - A program to generate random numbers b/w 0 to 10 using time

small-text - Active Learning for Text Classification in Python

deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

DocumentGPT - DocumentGPT is a web application that allows you to chat over your research document using OpenAI's chat API and perform semantic search using vector databases. This tool provides a seamless interface for interacting with your research document, exploring search results, and engaging in a conversation with an AI chatbot.

llm-client-sdk - SDK for using LLM