Pinned
Introducing supabase.sh: Supabase docs over SSH
Give your agents direct bash access to @supabase docs so that they can explore them the same way they do with code
00:00
Greg Richardson
404 posts
Greg Richardson
@ggrdson
Joined August 2018
00:00- For the @supabase folks, introducing the SQL-to-REST API translator 🚀 Translate any SQL query to the equivalent PostgREST request or Supabase client code.
00:00 - We just rolled out an exciting new feature on database.build (formerly postgres.new): Live Share Connect external postgres clients directly to your in-browser PGlite databases
00:00 - Excited to share some news: I've join @supabase's engineering team to help lead their #Developer #Documentation site ⚡️ 💻 Sometimes the best opportunities aren’t planned. 🧵
- Matryoshka embeddings allow you to "shorten" their dimensions (eg. OpenAI's v3 embeddings). But if you're like me, you probably want to know: ‣ how does shortening actually work? ‣ how are these models trained differently? ‣ can we take advantage of this in vector search?
00:00 - An absolute pleasure working with @samwillis on postgres.new - this is a guy who will obsess over DX until the very end. Give pglite.dev a try!1k GitHub stars since yesterday 🤯 I could not have had more fun than working with @ggrdson from @supabase on the pglite.dev + postgres.new collaboration 🚀
- There are lots of great guides on AI concepts (vector dbs, embeddings, RAG) - but how do you turn those POC's into a production-ready app? - What are best practices? - How do you implement permission-based RAG? - How do you index embeddings for scale? Hope this helps!The missing pieces to your AI app 🧩 A video guide to go from pgvector to prod using Supabase: youtu.be/ibzlEQmgPPY
00:00 - Series C complete @supabase. It’s been super cool to be a part of this team and watching from the inside how all the pieces come together 🚀 Honoured to be working with such talented folks!Supabase, a Postgres-centric developer platform, raises $80M Series C tcrn.ch/3BleQwr
- Want to try a 100% local LLM without jumping through hoops? 🏃🛟🛟🛟 Meet WebLLM 🤝 github.com/mlc-ai/web-llm This runs a LLaMa variant 100% local in your browser using WebGPU.
00:00 - Database branching is something I'm particularly stoked about. I've always wished there was a turn-key @vercel-like preview that spun up a new environment every GitHub PR - but for the _backend_ Now it's possible 🙌 and both integrated together at the same time (full-stack) 🚀LW🆇 Day 3 Main Stage announcement Supabase Branching ⬥ Vercel Previews ⬥ Data Seeding ⬥ Preview branch and more: supabase.com/blog/supabase-…
- In case you missed it, @langchain added a new tool called self-querying retrievers where the LLM generates the DB query itself based on your prompt then executes it for you. Think text-to-SQL but safer + automatic execution. @supabase now supported: python.langchain.com/docs/modules/d…The new self-query chain from @langchain is awesome It takes a user query like “I want to watch a movie rated higher than 8.5” and then can detect that it’s a simple structured query like: select * from movies where rating > 8.5 This will give an incredible performance
- Until now, I hadn't given open source LLMs any serious attention - because realistically they just couldn't compete with OpenAI... ...not so true anymore - if you haven’t gone down the OSS LLM rabbit hole yet, I’d say now is the time 🐰🕳️
00:00 - Replying to @ggrdsonPowered by PGlite, the WASM-built Postgres by the brilliant folks over at @ElectricSQL (special shout to @samwillis)
