now
markov
Our great sponsors
now | markov | |
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8 | 2 | |
588 | 273 | |
- | - | |
9.7 | 0.0 | |
12 months ago | almost 2 years ago | |
Python | C | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
now
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A Guide to Using OpenTelemetry in Jina for Monitoring and Tracing Applications
💡In this post we’re just building out a backend, and not touching on a frontend. To build your own low-code backend+frontend neural search solution, check out Jina NOW.
- I want to dive into how to make search engines
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Best stack/service for user generated content site.
Check out Jina NOW for an end-to-end text-to-image search
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Sophisticated neural search system using < 5 lines of code.
try it out for yourself now: https://examples.jina.ai/now/. Or if you'd prefer to go through the repo and see the magic behind the scenes: https://github.com/jina-ai/now
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No code solution for neural search. Build a search application using < 5 lines of code
Here's the link to try it out for yourself: https://now.jina.ai
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Deep-learning powered image search in just one line code
Github Repo
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Built a nocode solution for text to image search engine. Checkout live demo
And here's the open-source code for developer friends here in the community - https://github.com/jina-ai/now
- Show HN: Jina NOW – lowcode solution for multimodal neural search
markov
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How to investigate the implications of a transition matrix's properties on a Markov chain
Markov Chains for programmers - https://czekster.github.io/markov/
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I want to dive into how to make search engines
I would try to grasp the 'random surfer' idea, that is modeled by a Markov Chain. A nice free book is Markov Chain for Programmers [1]. A discrete time Markov Chain boils down to a conditional probability that boils down to a matrix, and a steady distribution boils down to an eigenvalue 1 eigenvector of it, which determines PageRank. Then one can jump to 'The $25,000,000,000 Eigenvector: The Linear Algebra behind Google'.
[1] https://github.com/czekster/markov
[2] https://doi.org/10.1137/050623280
What are some alternatives?
search-engines - Reviewing alternative search engines
phalanx - Phalanx is a cloud-native distributed search engine that provides endpoints through gRPC and traditional RESTful API.
grub-2.0 - Grub is an AI powered Web crawler.
finetuner - :dart: Task-oriented embedding tuning for BERT, CLIP, etc.
search-lib - A library of classes which can be used to build a search engine.
docarray - Represent, send, store and search multimodal data
protein_search - The neural search engine for proteins.
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow
Milvus - A cloud-native vector database, storage for next generation AI applications