PostgresML
@postgresml.bsky.social
Postgres with GPUs for ML/AI apps | Sign up for $100 in free usage credits 🦉 https://postgresml.org ⭐ https://github.com/postgresml 💬 https://discord.com/invite/DmyJP3qJ7U
🚀 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
Implementing Semantic Search in Postgres in 15 Minutes – PostgresML
How to implement semantic search in Postgres with nothing but SQL.
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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 💻 💻 💻
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
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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
Llama 3.2 now available in PostgresML serverless – PostgresML
Bringing smaller, smarter models to your data.
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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
PostgresML | Chatbots – PostgresML
The simplest (and fastest) chatbot builder. Use the latest large language and machine learning models right in Postgres
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🚀 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
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
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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
Sudowrite + PostgresML – PostgresML
How the best AI-powered app for fiction writers built their winning RAG stack
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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
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.
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Want to see how devs are using PostgresML? 🦉 Check out this great rundown from @Krishnaik06 ⬇️ http://dlvr.it/TBX8JF
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...
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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
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).
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"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
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.
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Excited to announce meta-llama-3.1 support in PostgresML Cloud! 🦉 + 🦙 Get the details on our blog ➡️ http://dlvr.it/T9zdFY
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.
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Learn how to do RAG in Python...on Postgres. With @NeuralNine ➡️ http://dlvr.it/T9myN5
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◾◾◾◾◾◾◾◾◾◾...
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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
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
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.
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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
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.
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How to generate LLM embeddings with open source models from Hugging Face 🤗 http://dlvr.it/T8jLsF
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.
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How to create a semantic search engine with nothing but SQL ➡️
Implementing Semantic Search in Postgres in 15 Minutes – PostgresML
How to implement semantic search in Postgres with nothing but SQL.
dlvr.it
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.
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Introducing Unified RAG — a practical solution to the pitfalls of typical LLM apps. http://dlvr.it/T8DkkX
Unified RAG – PostgresML
Embedding generation, storage and retrieval + search reranking + text generation - all in Postgres.
dlvr.it
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
Using PostgresML with Django and embedding search – PostgresML
An example application using PostgresML and Django to build embedding based search.
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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
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.
dlvr.it
Moving from AWS ➡️ GCP with minimal downtime 4 lessons learned from our cloud migration http://dlvr.it/T7z026
How we migrated from AWS to GCP with minimal downtime – PostgresML
Lessons learned from moving terabytes of real time data between cloud providers.
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Serverless LLMs don't work. Bringing your models in-database is the answer. postgresml.org/blog/serverl...
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.
postgresml.org
🦉 + 🦀 We are excited to announce the official release of our Rust SDK, now available on crates.io. http://dlvr.it/T7wYY6
Announcing the Release of our Rust SDK – PostgresML
Our official Rust SDK is here and available on crates.io
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