Augusto Rosa’s Post

❄️ Snowflakes on Snowflake: Retrieval-Augmented Generation (RAG) using Snowflake's SQL and full-text search, integrating with Large Language Models (LLMs), can transform any business by combining powerful data retrieval with advanced generative models, delivering next-level insights on your dashboard. #DataIngestion #RAG #Snowflake #LLM #DataEngineering 📊🚀

In case you missed to read my earlier post on using Snowflake Cortex LLM - COMPLETE function - you can read the full blog here - https://lnkd.in/gUjJ7gsW 📣 Read to learn more 📣 1. Understand COMPLETE function and parameters 2. Use cases to implement the function 3. Sample use case to generate the reponse using SQL 4. Quotas and Limitations of the function for model chosen 5. Reference use case and SQL statements to implement quick POC using COMPLETE to read data from table and generate responses 📌 Benefits 📌 📍 Ease of use 📍 SQL interface to integrate the LLM model to generate responses 📍 Use function with choice of your LLM model to cater to your specialized use cases 📍 No additional setup required to start using LLM functions #snowflake #snowflakecortex #genai #llama2 #snowflake_influencer #datasuperheroes

Announcing Snowflake Copilot - now in public preview! Leveraging Snowflake Cortex, Copilot incorporates genAI into everyday coding activities through natural language. Users can engage with their data using simple text, compose SQL queries, and fine-tune their queries to extract specific insights. This is a huge advantage in data exploration. Check out the article below for more info:

DataStax and Unstructured — a POWERFUL partnership! This blog shows how Unstructured + DataStax Astra DB can quickly convert common document types into vector data for highly relevant GenAI similarity searches ⤵️ https://ow.ly/hkXT50SyMRz #DataStax

DataStax and Unstructured — a POWERFUL partnership! This blog shows how Unstructured + DataStax Astra DB can quickly convert common document types into vector data for highly relevant GenAI similarity searches ⤵️ https://ow.ly/b6VK50SwUG9 #DataStax

DataStax and Unstructured — a POWERFUL partnership! This blog shows how Unstructured + DataStax Astra DB can quickly convert common document types into vector data for highly relevant GenAI similarity searches ⤵️ https://ow.ly/bBoB50SwyVz #DataStax

DataStax and Unstructured — a POWERFUL partnership! This blog shows how Unstructured + DataStax Astra DB can quickly convert common document types into vector data for highly relevant GenAI similarity searches ⤵️ https://ow.ly/OWB950SyCqV #DataStax

DataStax and Unstructured — a POWERFUL partnership! This blog shows how Unstructured + DataStax Astra DB can quickly convert common document types into vector data for highly relevant GenAI similarity searches ⤵️ https://ow.ly/Q4E250SxhyR #DataStax

DataStax and Unstructured — a POWERFUL partnership! This blog shows how Unstructured + DataStax Astra DB can quickly convert common document types into vector data for highly relevant GenAI similarity searches ⤵️ https://ow.ly/xPGm50SyW4s #DataStax

DataStax and Unstructured — a POWERFUL partnership! This blog shows how Unstructured + DataStax Astra DB can quickly convert common document types into vector data for highly relevant GenAI similarity searches ⤵️ https://ow.ly/CLxx50Sy9Jb #DataStax