postgresml
Postico
postgresml | Postico | |
---|---|---|
23 | 9 | |
5,442 | 477 | |
1.8% | - | |
9.7 | 0.0 | |
5 days ago | about 2 years ago | |
Rust | Python | |
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.
postgresml
- PostgresML
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[P] pgml-chat: A command-line tool for deploying low-latency knowledge-based chatbots
The Python client SDK is so small, because it's just a wrapper around the Rust client SDK: https://github.com/postgresml/postgresml/tree/master/pgml-sdks/rust/pgml. Currently we also support JS/Typescript SDKs as well, all generated from the same safe and efficient underlying Rust implementation, using some fancy Rust macros.
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Pg_later: Asynchronous Queries for Postgres
I don't think you'd replace a materialized view with pg_later, but it might help you populate or update your materialized view if you are trying to do that asynchronously. pglater.exec() works with DDL too!
I use it a lot for long running queries when doing data science and machine learning work, and a lot of times when executing queries from a jupyter notebook or CLI. That way if my jupyter kernel dies, my query execution continues even if the network or my environment has an issue. I've started using it a bit more with https://github.com/postgresml/postgresml for model training tasks too, since those can be quite long running depending on the situation.
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Replace pinecone.
PostgresML comes with pgvector as a vector database. The cool thing is it can run your models in the same memory space as a database extension. We’re also working on ggml support for huggingface transformers, but could use some help testing more LLMs for compatibility. https://github.com/postgresml/postgresml/pull/748
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Python SDK for PostgresML with scalable LLM embedding memory and text generation
We've been working on a Python SDK[1] for PostgresML to make it easier for application developers to get the performance and scalability benefits of integrated memory for LLMs, by combining embedding generation, vector recall and LLM tasks from HuggingFace in a single database query.
This work builds on our previous efforts that give a 10x performance improvement from generating the LLM embedding[2] from input text along with tuning vector recall[3] in a single process to avoid excessive network transit.
We'd love your feedback on our roadmap[4] for this extension, if you have other use cases for an ML application database. So far, we've implemented our best practices for scalable vector storage to provide an example reference implementation for interacting with an ML application database based on Postgres.
[1]: https://github.com/postgresml/postgresml/tree/master/pgml-sd...
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[P] Python SDK for PostgresML w/ scalable LLM embedding memory and text generation
We've been working on a Python SDK for PostgresML to make it easier for application developers to get the performance and scalability benefits of integrated memory for LLMs, by combining embedding generation, vector recall and LLM tasks from HuggingFace in a single database query.
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Show HN: We unified LLMs, vector memory, ranking, pruning models in one process
Links:
[1]: https://huggingface.co/spaces/mteb/leaderboard
[2]: https://postgresml.org/blog/generating-llm-embeddings-with-o...
[3]: https://postgresml.org/blog/tuning-vector-recall-while-gener...
[4]: https://postgresml.org/blog/personalize-embedding-vector-sea...
Github: https://github.com/postgresml/postgresml
- Personalize embedding results with application data in your database
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[P] We've unified LLMs w/ vector memory + reranking & pruning models in a single process for better performance
Github: https://github.com/postgresml/postgresml
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How to store hugging face model in postgreSQL
I'd encourage you to do inference outside of PostgreSQL (use TF serving and make requests against it, or do batch inference), but if you're determined to do so, they have an extension that integrates with the transformers library and allows for calling models directly from SQL.
Postico
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A collection of useful Mac Apps
Postico - Price: $35.99 (one-time purchase) PostgreSQL client for Mac that features a user-friendly interface and powerful features.
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macOS Dev Setup
If you prefer a GUI (Graphical User Interface), Postico has a simple free version that let's you explore tables and run SQL queries.
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Most popular PostgreSQL GUIs in 2022: the (almost) scientific list
Postico is macOS PostgreSQL client for reading data, doing basic manual data entry and editing your database structure.
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Show HN: PostgresML, now with analytics and project management
You might want to use a different elephant logo... the branding implies that it is an official part of the project.
E.g. Postico uses an elephant but not the _same_ elephant - https://eggerapps.at/postico/
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Recommendation for Software Engineer/Developer and Software architect apps?
TablePlus for multiple databases or Postico just for Postgres
- 波斯蒂科。适用于Mac的现代PostgreSQL客户端 (Postico: A Modern PostgreSQL Client for the Mac)
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Postico: A Modern PostgreSQL Client for the Mac
There are annoying show-stopper bugs that the developer refuses to fix, like this one for not being able to set options for null/empty values when importing data from csv ( https://github.com/jakob/Postico/issues/406). Or issues importing CSVs exported by Postico itself, that seems like a pretty basic requirement.
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Hacker News top posts: Mar 25, 2022
Postico: A Modern PostgreSQL Client for the Mac\ (98 comments)
What are some alternatives?
MindsDB - The platform for customizing AI from enterprise data
beekeeper-studio - Modern and easy to use SQL client for MySQL, Postgres, SQLite, SQL Server, and more. Linux, MacOS, and Windows.
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
pgadmin4 - pgAdmin is the most popular and feature rich Open Source administration and development platform for PostgreSQL, the most advanced Open Source database in the world.
deepchecks - Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
schemaspy - Database documentation built easy
dskueb
heroku-postico - Heroku Postgres connection tool for Postico
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!
HomeBrew - 🍺 The missing package manager for macOS (or Linux)
mosec - A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
TablePlus - TablePlus macOS issue tracker