jina
Jina AI examples
Our great sponsors
| jina | Jina AI examples | |
|---|---|---|
| 126 | 22 | |
| 20,009 | 403 | |
| 1.5% | - | |
| 9.2 | 9.6 | |
| 7 days ago | over 2 years ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
jina
- Jina.ai: Self-host Multimodal models
- FLaNK Stack Weekly for 30 Oct 2023
-
Cross data type search that wasn’t supported well using Elasticsearch
Jina mainly because of their use of neural networks and AI.
- Recommend a Lightweight Launcher with Nested Folders
-
I plan to build my own AI powered search engine for my portfolio. Do you know ones that are open-source?
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?
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.
-
Can AI 3D model search engines be a thing this year?
The tech lets you find 3D models without sifting through tons of text - An information retrieval framework does the heavy lifting and compares models to each other, no descriptions or keywords needed.
-
Any MLOps platform you use?
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
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
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.
Jina AI examples
-
Show HN: Search PDFs with Transformers and Python Notebook
- Modern PDFs - if you wanna extract text and images, then the PDFSegmenter used in my example will work. If tables too, might need some additional jiggery-pokery, but definitely doable. I know other ppl using the same framework (Jina) who've accomplished it.
- Exact word search - pretty simple. I've focused on more advanced stuff because color vs colour is same same but different. Also just because it's pretty easy since I'm just using pre-defined building blocks, not manually integrating stuff
- Cross platform frontend - I've seen a lyrics search frontend [0] and I've built stuff in Streamlit before. Jina offers RESTful/gRPC/WebSockets gateways so it can't be too tough
- Lightweight? I mean how lightweight do you want it? C? Bash? Assembly? I've found Python good for text parsing
- Long-term: The notebook I wrote has a few (each of which have their own), but compared to others they're relatively lightweight.
- Gluing code: I've been using pre-existing building blocks, and writing new Executors (i.e. building blocks) is relatively straightforward, and then scaling them up with shards, replicas, etc is just a parameter away.
I'm more into the search side then the PDF stuff. The PDF side I've had experience with through bitter suffering and torment. Not a fun format to work with (unless you're into sado-masochism)
[0] https://github.com/jina-ai/examples/tree/master/multires-lyr...
-
Getting started with Jina AI
Semantic Wikipedia Search
- Do what Google does: build a semantic search app powered by Jina AI's open source, neural search framework.
- A semantic search app powered by Jina AI's open source, neural search framework. Using this, you can index and search song lyrics using state-of-the-art machine learning language models
-
[P] A week ago, I came across this super cool project to build Cross Modal Search. I will now share more details about the project
I was looking for some projects based on search engines, and building a tool which could search across various types of data, and that's when I came across this GitHub project: https://github.com/jina-ai/jina/blob/master/.github/pages/hello-world.md#-multimodal-document-search. Encouraged by thorough, step by step instructions on how to build a search service that can use diverse modal features to provide accurate results; I ventured through the documents till I came to the latest updated version, here: https://github.com/jina-ai/examples/tree/master/cross-modal-search.
- Build your own Google Image search powered by deep-learning, open-source
-
[P] Open-source Neural Search framework to implement semantic search & multimedia search. Just released 2.0, seeking your feedback.
There are already some examples on music search, pdf search and video search that shows some POC of it's capabilities around those use cases. You can discuss your specific use case in detail with Jina community on slack
-
I was wrong! A big thank you to r/python members 🙏
Thank you so much for the appreciation and sharing your use cases. Checkout examples for chatbot and financial analysis - https://github.com/jina-ai/examples
-
PDF search - Another project I built using Jina(AI Search framework)
git clone --depth 1 --filter=blob:none --sparse https://github.com/jina-ai/examples git sparse-checkout set multimodal-search-pdf
- Alternative to Google Images - Open-Source image search engine
What are some alternatives?
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
finetuner - :dart: Task-oriented embedding tuning for BERT, CLIP, etc.
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.
jina-hub - An open-registry for hosting Jina executors via container images
dalle-flow - 🌊 A Human-in-the-Loop workflow for creating HD images from text
jina-financial-qa-search
whoogle-search - A self-hosted, ad-free, privacy-respecting metasearch engine
jina-app-store-example - App store search example, using Jina as backend and Streamlit as frontend [Moved to: https://github.com/jina-ai/example-app-store]
es-clip-image-search - Sample implementation of natural language image search with OpenAI's CLIP and Elasticsearch or Opensearch.
jina-meme-search-example - Meme search engine built with Jina neural search framework. Search with captions or image files to find matching memes. [Moved to: https://github.com/jina-ai/example-meme-search]
growthbook - Open Source Feature Flagging and A/B Testing Platform
pdfminer.six - Community maintained fork of pdfminer - we fathom PDF