finetuner VS jina

Compare finetuner vs jina and see what are their differences.

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finetuner jina
36 124
1,192 19,105
4.9% 1.2%
0.0 7.4
2 months ago 8 days ago
Python Python
Apache License 2.0 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.


Posts with mentions or reviews of finetuner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-17.


Posts with mentions or reviews of jina. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-11.
  • Cross data type search that wasn’t supported well using Elasticsearch
    2 projects | /r/learnprogramming | 11 Apr 2023
    Jina mainly because of their use of neural networks and AI.
  • I plan to build my own AI powered search engine for my portfolio. Do you know ones that are open-source?
    6 projects | /r/opensource | 17 Mar 2023
    Jina - It’s an open-source project where you can build search engines. Well maybe not no code but it claims that you only need a few lines of code for creating projects. The project supports semantic, text, image, audio, and video search. What I’m also interested in is with their neural search and generative AI. I’m also interested in the amount of github repo that they have. I have this on my radar since this is also something I was interested in.
  • How can we match images in our database?
    2 projects | /r/learnmachinelearning | 16 Mar 2023
    Do you guys have any ideas how we can match images on our database? We’re working on a project that about matching images on our database. We were trying to use SIFT and some other similar methods, but for some reason, nothing doesn’t seem to be working that well. Does anyone have any suggestions for the most effective way to do this? Maybe some open-source solutions like HuggingFace or Jina AI? We just want to make sure our image matching is correct and that part’s been a bit of a struggle on our part.
  • Any MLOps platform you use?
    3 projects | /r/learnmachinelearning | 25 Feb 2023
    Jina AI -They offer a neural search solution that can help build smarter, more efficient search engines. They also have a list of cool github repos that you can check out. Similar to Vertex AI, they have image classification tools, NLPs, fine tuners etc.
  • This week(s) in DocArray
    5 projects | | 16 Feb 2023
    Well, it's not exactly a new feature, but we've been working on early support for DocArray v2 in Jina.
  • Multi-model serving options
    3 projects | /r/mlops | 12 Feb 2023
    Jina let’s you serve all of your models through the same Gateway while deploying them as individual microservices. You can also tie your models together in a pipeline if needed. Also some nice ML focussed features such as dynamic batching.
  • Image matching within database? [P]
    3 projects | /r/MachineLearning | 5 Jan 2023
    You should check out and
  • Image Similarity Score using transfer learning
    6 projects | /r/MLQuestions | 31 Aug 2022
  • I want to dive into how to make search engines
    16 projects | | 25 Aug 2022
    What kinda thing do you want to search? Text I guess? But there are search engines for images, gifs, video, all kinds of stuff.

    I'm working at an open-source project that builds an AI-powered search framework [0], and I've built some examples in very few lines of code (for searching fashion products via image or text [1], PDF text/images/tables search [2]) and one of our community members built a protein search engine [3].

    A good place to start might be with a no-code solution like (shameless self-plug time) Jina NOW [4], which lets you build a search engine and GUI with just one CLI command.


  • 80 million sentence embeddings
    4 projects | /r/LanguageTechnology | 3 Jun 2022
    Yeah you can use elasticsearch to do some of the heavy lifting when indexing vectors although I've not personally used it for this exsct use case. I think tools like jina and haystack make this super easy for you

What are some alternatives?

When comparing finetuner and jina you can also consider the following projects:

Weaviate - Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text

whoogle-search - A self-hosted, ad-free, privacy-respecting metasearch engine

es-clip-image-search - Sample implementation of natural language image search with OpenAI's CLIP and Elasticsearch or Opensearch.

gpt_index - LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data. [Moved to:]

Jina AI examples - Jina examples and demos to help you get started

searxng - SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

growthbook - Open Source Feature Flagging and A/B Testing Platform

jina-hub - An open-registry for hosting Jina executors via container images

astrofox - Astrofox is a motion graphics program that lets you turn audio into amazing videos.