Implementing Semantic Search in Postgres in 15 Minutes – PostgresML How to implement semantic search in Postgres with nothing but SQL.

🚀 Implement semantic search in #Postgres in 15 minutes.

🐘 Use pgml and pgvector extensions
🔢 Convert text to embeddings
⚖️ Measure vector similarity
📈 Optimize with HNSW indexes

http://dlvr.it/TFZyW0

Korvus x Trellis: Semantic search over YC jobs – PostgresML A detailed guide to creating a semantic search system using Trellis AI and the PostgresML SDK, Korvus

How to build a better search engine for @ycombinator job listings 🧠 💻
Our guide shows you how to:


Powered by @runtrellis & the @postgresml SDK, Korvus
👇 Tutorial: http://dlvr.it/TF9Dx3 💻 💻 💻

Llama 3.2 now available in PostgresML serverless – PostgresML Bringing smaller, smarter models to your data.

PostgresML now supports Llama 3.2 🦙

🦉 Free for all Serverless Database users
🐘 Bring models to your data, not vice versa
✨ Smaller models, bigger capabilities

Read on in the blog: [http://dlvr.it/TDlpqs

PostgresML | Chatbots – PostgresML The simplest (and fastest) chatbot builder. Use the latest large language and machine learning models right in Postgres

Ever wondered how RAG works inside a database?

Check out our latest chatbot ➡️

It performs RAG over all of Wikipedia, using open-source models directly in Postgres.

✨Full RAG workflow in one SQL query
🐘In-database processing
🌎100% open-source

Try it: http://dlvr.it/TDgLwF

GitHub - postgresml/postgresml-django: postgresml-django is a Python module that integrates PostgresML with Django ORM, enabling automatic in-database embedding of Django models. postgresml-django is a Python module that integrates PostgresML with Django ORM, enabling automatic in-database embedding of Django models. - postgresml/postgresml-django

🚀 postgresml-django

Seamlessly integrate ML/AI with #django ORM

✨ Automatic in-database embeddings
🔍 Vector similarity search
🧠 ML-powered Django projects

Try it now, let us know what you think.

http://dlvr.it/TD4N31

Sudowrite + PostgresML – PostgresML How the best AI-powered app for fiction writers built their winning RAG stack

Check out what @sudowrite pulled off with their RAG stack:

⚡️ Whipped up a prototype in just 3 hours
📈Now crunching 1M+ calls/hour like it's nothing
🐘 Doing all this fancy AI stuff inside their Postgres DB

Get the details here 👉 [http://dlvr.it/TCRY5B

LLMs are Commoditized; Data is the Differentiator – PostgresML Last year, OpenAI’s GPT-4 launched to great fanfare and was widely hailed as the arrival of AI. Last week, Meta’s Llama 3 surpassed the launch performance of GPT-4, making AI truly available to all with an open-weight model.

Too many enterprise AI/ML apps are out of date before they launch, and unmaintainable long term. 🙃

Why?

Complex data pipelines. Isn't there a better way?

⬇️

http://dlvr.it/TBd1Ps

Complete MLOPS Platform To Build LLMs Application In PostgresML-Bring ML code to your Database PostgresML is a complete MLOps platform in a PostgreSQL extension. Build simpler, faster and more scalable models right inside your database.Try PostgreML: h...

Want to see how devs are using PostgresML? 🦉

Check out this great rundown from @Krishnaik06 ⬇️

http://dlvr.it/TBX8JF

A Speed Comparison of the Most Popular Retrieval Systems for RAG – PostgresML A hands-on test of the most popular retrieval systems for retrieval augmented generation (RAG).

RAG Retrieval Speed Showdown 🏁

We conducted a hands-on speed comparison of the most popular RAG retrieval systems.

👉 Dive into our full blog post to get the details and analysis.

http://dlvr.it/TBJyNK

What’s Hacker News’ problem with open source AI – PostgresML Open source AI is not the future. It’s here, now. Hacker News has spent the last 24 hours debating if Meta’s Llama models are really “open source” rather than talking about the ramifications of its launch.

"Open source AI is important, not because of some pedantic definition by some pseudo-official body like OSI — it’s important because of the power and incentive structures that pervade our society."

Read on in our blog ➡️

http://dlvr.it/TB2B9v

Announcing Support for Meta Llama 3.1 – PostgresML Today we’re taking the next steps towards open source AI becoming the industry standard. We’re adding support for Llama 3.1 405B, the first frontier-level open source AI model, as well as new and improved Llama 3.1 70B and 8B models.

Excited to announce meta-llama-3.1 support in PostgresML Cloud! 🦉 + 🦙

Get the details on our blog ➡️

http://dlvr.it/T9zdFY

RAG in Python Made Easy with PostgresML Today we learn how to easily do Retrieval-Augmented Generation (RAG) in Python using PostgresML.PostgresML: https://rebrand.ly/NeuralNinePostgresML◾◾◾◾◾◾◾◾◾◾...

Learn how to do RAG in Python...on Postgres. With @NeuralNine

➡️ http://dlvr.it/T9myN5

RAG in a single query. On Postgres. That's Korvus.

Our new open-source RAG pipeline combines the entire RAG workflow - from embedding to text generation - into a single DB query...one query to rule them all ☝️ No SQL necessary. Python, JS, or Rust.

➡️ http://dlvr.it/T9QlcK

LLM based pipelines with PostgresML and dbt (data build tool) – PostgresML Unlock the Power of Large Language Models (LLM) in Data Pipelines with PostgresML and dbt.

PGML + DBT = ❤️

Are you a data engineer looking to incorporate NLP into your data workflow? Check out this tutorial on getting up and running quickly and easily using DBT and PostgresML.

http://dlvr.it/T96mg4

Tuning vector recall while generating query embeddings in the database – PostgresML How to effectively write and tune queries against large embedding collections with significant speed and quality advantages compared to OpenAI + Pinecone.

Rather than shipping the entire vector back to an application like a normal vector database, PostgresML includes all the algorithms needed to compute results internally.

Learn more ➡️

http://dlvr.it/T91syY

Introducing the OpenAI Switch Kit: Move from closed to open-source AI in minutes – PostgresML Quickly and easily transition from the confines of the OpenAI APIs to higher quality embeddings and unrestricted text generation models.

Swap OpenAI with any open-source model ➡️

http://dlvr.it/T8pFYp

Generating LLM embeddings with open source models in PostgresML – PostgresML How to use the pgml.embed(...) function to generate embeddings with free and open source models in your own database.

How to generate LLM embeddings with open source models from Hugging Face 🤗

http://dlvr.it/T8jLsF

Implementing Semantic Search in Postgres in 15 Minutes – PostgresML How to implement semantic search in Postgres with nothing but SQL.

How to create a semantic search engine with nothing but SQL ➡️

Unified RAG – PostgresML Embedding generation, storage and retrieval + search reranking + text generation - all in Postgres.

Introducing Unified RAG — a practical solution to the pitfalls of typical LLM apps.


http://dlvr.it/T8DnHV

Unified RAG – PostgresML Embedding generation, storage and retrieval + search reranking + text generation - all in Postgres.

Introducing Unified RAG — a practical solution to the pitfalls of typical LLM apps.

http://dlvr.it/T8DkkX

Using PostgresML with Django and embedding search – PostgresML An example application using PostgresML and Django to build embedding based search.

How to build a Django app -- with the spicy addition 🌶️ of semantic search -- powered by embedding models running inside your PostgreSQL database.


http://dlvr.it/T8B9T6

Build a RAG Discord chatbot in 10 minutes Try out the Sponsors of this video, PostgresML: https://rebrand.ly/LouisPostgresMLResources:GitHub (code I follow here): https://github.com/postgresml/postgr...

10 minutes to RAG | A step-by-step video tutorial 🦉

http://dlvr.it/T87cyr

LLMs are Commoditized; Data is the Differentiator – PostgresML Last year, OpenAI’s GPT-4 launched to great fanfare and was widely hailed as the arrival of AI. Last week, Meta’s Llama 3 surpassed the launch performance of GPT-4, making AI truly available to all with an open-weight model.

In-database ML represents a strategic shift to leverage data more effectively. By enabling MLOPs directly within the DB, more orgs can make AI apps that are more efficient, effective and reactive to real-time data changes.
http://dlvr.it/T851Vz

How we migrated from AWS to GCP with minimal downtime – PostgresML Lessons learned from moving terabytes of real time data between cloud providers.

Moving from AWS ➡️ GCP with minimal downtime

4 lessons learned from our cloud migration

http://dlvr.it/T7z026

Serverless LLMs are dead; Long live Serverless LLMs – PostgresML Building LLM infrastructure presents a series of tradeoffs that aren't obvious at the outset, even for seasoned teams. This is our journey to high-performance LLMs at scale.

Serverless LLMs don't work. Bringing your models in-database is the answer.

postgresml.org/blog/serverl...

Announcing the Release of our Rust SDK – PostgresML Our official Rust SDK is here and available on crates.io

🦉 + 🦀

We are excited to announce the official release of our Rust SDK, now available on crates.io.

http://dlvr.it/T7wYY6