I really enjoyed giving this talk with @diqitally at @pgconfeu. Di's blog post sums it up well, with also the code available -- a code chatbot in just 15 minutes, built with PostgreSQL.
https://t.co/iN1g0Lf2Kg
Yesterday @umurc and I gave a talk at @pgconfeu about how to build a code chatbot with Postgres in 15 minutes! Here's a short version in a blog post ☺️
https://t.co/RQMq2W03WV
We're excited to announce managed @lanterndb on Ubicloud!
https://t.co/tjQDsYo6OU
With this partnership, here's what you get:
* With open source, powerful RAG (Retrieval Augmented Generation) AI apps
* Better better price / performance than proprietary solutions
* Usability and fast indexing features from Lantern
* Deep Postgres and AI expertise, in one partnership
Building AI apps with Postgres is now a lot simpler -- and the apps are that much faster! 🚀
It is wonderful to welcome @lanterndb as a partner on Ubicloud, where our users get 1st party support directly from the creators of modern, powerful @PostgreSQL extensions. More thoughts on this on our blog!
So excited about this partnership! 🥳
@UbicloudHQ is building an open source alternative to AWS that reduces your Cloud bill by 3-10x
It’s been wonderful to work with the Ubicloud team. They’re experts in Postgres — they're the same team that built distributed Postgres at Citus
🚀 We’re excited to share that Lantern is now available on @UbicloudHQ !
You can access vector generation, LLMs, serverless indexing, and more. All in Postgres. All open-source.
If you're building an AI app, we can help you simplify your infrastructure.
https://t.co/oomWoZ2f1R
Vector Databases & Document Intelligence in the same blog post? What's that - a cross over episode?!
Super excited to announce our cross-blog with @diqitally from @lanterndb along with the greatest CTO on Earth @nankigrewal.
In this post we take a look at how to automate Banking Compliance with Ecliptor's document intelligence and Latern's vector database capabilities.
Don't want to spoil your fun reading it, so check it out below 👇
we were excited to work with @nankigrewal and @andrezfu from our yc batch on this demo of automating compliance checks with lantern and ecliptor! 🚀
we used ecliptor for document processing and lantern for vector generation + storage. check it out ☺️
https://t.co/nASVvCP0gG
we went to an @OpenAI x @ycombinator hackathon this week!
@ngalstyan4 and i built an app to iteratively build postgres extensions - it generated a median aggregate function extension successfully :)
We built external indexing for pgvector in Postgres.
External indexing offloads the resource-intensive index creation process to external machines to reduce the impact on database performance.
Read the blog post from @D4RK7ET below 👇
https://t.co/1r8J2Nyudg
I built a site to browse the Postgres mailing list archives. It supports search using FTS from Postgres + vector search with the Lantern extension.
I've been using it for testing but cleaned it up a bit to share 🙂
https://t.co/b0NcjqwWp7
Besides the deep dive we have built a JSON parser for HNSW indexes and interactively visualized index pages entirely in the browser using pglite.
Check out the blogpost and play with the index parser yourself!
#PostgreSQL#postgres#pgvector#hnsw#pglite
Did you know there are over 300 parameters used to configure a Postgres service? @ngalstyan4 covers some of the differences in default settings across Cloud providers.
https://t.co/8CPq1ka4DD
Hybrid vector search = dense vectors + sparse vectors, combining semantic + keyword search to improve search results 🚀
We evaluated hybrid vector search with embeddings from Open AI, @JinaAI_ , and SPLADE using the BEIR framework.
https://t.co/L8IHcWUKCU
We respond to Pinecone's recent blog post comparing Postgres and Pinecone. We show that Postgres can outperform Pinecone in the same benchmarks Pinecone covered in their article.
https://t.co/UmP0fKye8F