pgsql-http
AI
pgsql-http | AI | |
---|---|---|
17 | 4 | |
1,164 | 14 | |
- | - | |
5.8 | 10.0 | |
24 days ago | about 7 years ago | |
C | ||
MIT License | GNU General Public License v3.0 only |
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pgsql-http
- PostgreSQL Is Enough
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becauseBackendIsJustASocialConstructRight
I don’t understand the question https://github.com/pramsey/pgsql-http
- What are my options to send a notification everytime a new row is inserted into my PostgreSQL RDS database/Aurora database?
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How to perform authenticated http requests with the http REST client extension?
I am trying to use the supabase http rest client extension to fetch data from an external API. Following the supabase docs and the GitHub repo readme, I have not been able to successfully make a request that requires auth, specifically an API key in the request header with key x-api-key.
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Sketch of a Post-ORM
- Hasura Remote Schema (https://hasura.io/blog/tagged/remote-schemas/)
If you want more control over the web API and you were going to fetch the data within your Python back-end and process it there, for some use-cases (not all, but some), there are options:
- pg_http (https://github.com/pramsey/pgsql-http)
Life is about trade-offs. Doing the work in SQL is not without its drawbacks, but it's also not without its benefits, and that's true for doing the work in a general-purpose language as well. Whatever the drawbacks of doing it in SQL, one of the benefits has got to be eliminating the impedance mismatch (for people who regard that mismatch as a problem, and the OP seems to be one such person). What I claim is that doing the work directly in the database shouldn't be ruled out in general (the specifics of a given use-case may rule it out in particular) any more the the other common patterns (API hand-written in Python, for instance) shouldn't be ruled out in general.
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Watching for changes to DB by another app
You could e.g. use the trigger to call http api using e.g. https://github.com/pramsey/pgsql-http
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How to best fetch JSON data from external API and write to supabase every hour?
I do this all the time just with Postgres functions. Just turn on the following extensions: http (https://github.com/pramsey/pgsql-http) pg_cron (https://github.com/citusdata/pg\_cron)
- What's Postgres Got to Do with AI?
- Edge Functions or Database Functions?
- Pgsql-HTTP: HTTP client for PostgreSQL
AI
- What's Postgres Got to Do with AI?
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Do Simpler Machine Learning Models Exist and How Can We Find Them?
> similar to genetic programming
A genetical algorithm was also what I was thinking of. Come up with some kind of symbolic (textual) way to represent a wiring/circuit diagram (graph) and evolve the most efficient "learner" using mutation and cross-breeding (e-sex). The earliest GA I read about used Lisp dicing.
As far as "easiest" AI for humans to work with, "Factor tables" may be a way:
https://github.com/RowColz/AI
AI tuning them becomes more like accounting instead of a lab with Doc Brown.
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A Gentle Introduction to Vector Databases
It's kind of like Factor Tables. I'd like to see research projects experimenting with it, rather than just these "garage projects".
What are some alternatives?
Multicorn - Data Access Library
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
supabase-mailer - Send and track email from Supabase / PostgreSQL using a Transactional Email Provider
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
pg_net - A PostgreSQL extension that enables asynchronous (non-blocking) HTTP/HTTPS requests with SQL
SymbolicRegression.jl - Distributed High-Performance Symbolic Regression in Julia
graphile-engine - Monorepo home of graphile-build, graphile-build-pg, graphile-utils, postgraphile-core and graphql-parse-resolve-info. Build a high-performance easily-extensible GraphQL schema by combining plugins!
symreg - A Symbolic Regression engine
amforeas - A RESTful Interface to your database
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
pgx - Build Postgres Extensions with Rust! [Moved to: https://github.com/tcdi/pgrx]
wrappers - Postgres Foreign Data Wrapper development framework in Rust.