Open-source PostgreSQL vector database to build AI applications. YC W24. GitHub: https://xitter.cf/t.co/JoVGO5gbym
San Francisco, California
Joined June 2023
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Lantern retweeted
🚀 Lantern now supports LLM calls in Postgres!
Run adhoc queries:
SELECT llm_completion('Summarize code', code) FROM files LIMIT 1;
Or automate column generation:
SELECT add_completion_job('files', 'code', 'summary', 'Summarize code');
lantern.dev/blog/llm-complet…
Lantern retweeted
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.
lantern.dev/blog/ubicloud
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 ☺️
lantern.dev/blog/ubicloud
Lantern retweeted
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 ☺️
lantern.dev/blog/ubicloud
We're excited to announce managed @lanterndb on Ubicloud!
lantern.dev/blog/ubicloud
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
Lantern retweeted
We're excited to announce managed @lanterndb on Ubicloud!
lantern.dev/blog/ubicloud
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
Lantern retweeted
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
Lantern retweeted
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.
ubicloud.com/blog/build-ai-a…
🚀 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.
ubicloud.com/blog/build-ai-a…
Lantern retweeted
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 👇
Lantern retweeted
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 ☺️
lantern.dev/blog/ecliptor
Lantern retweeted
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 :)
Lantern retweeted
This is really cool. A super clever way of reducing pgvector’s indexing impact on production database use.
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 👇
lantern.dev/blog/pgvector-ex…
Lantern retweeted
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 👇
lantern.dev/blog/pgvector-ex…
Lantern retweeted
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 🙂
pg.lantern.dev
Lantern retweeted
This is a very cool look at how pgvector indexes work, and they built an incredible browser based visual inspector for it with PGlite 🤯
We did a deep dive into how pgvector stores HNSW indexes in Postgres.
Read more from Varik below ↓
lantern.dev/blog/pgvector-st…
Lantern retweeted
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
We did a deep dive into how pgvector stores HNSW indexes in Postgres.
Read more from Varik below ↓
lantern.dev/blog/pgvector-st…
We did a deep dive into how pgvector stores HNSW indexes in Postgres.
Read more from Varik below ↓
lantern.dev/blog/pgvector-st…
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.
lantern.dev/blog/cloud-confi…
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.
lantern.dev/blog/hybrid-sear…
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.
lantern.dev/blog/postgres-vs…