Timescale’s Post

If you're interested in using #DynamoDB to maintain history/memory for your LangChain Go apps, I wrote this library that might be helpful 🧑🏽💻 https://lnkd.in/dfZ9Q65g Cheers! #generativeai #database #nosql #golang

Big thanks to our Conference Sponsor PostgresML #PostgresConf 2024! PostgresML, a pioneering MLOps platform on PostgreSQL with GPU capabilities, streamlines app development for the future AI landscape. It optimizes efficiency by moving models to the database, avoiding constant data transfers. From forecasting to chatbots, craft customized AI apps using the latest techniques via SQL or preferred languages within an extensible, open-source database. Explore the world of #PostgreSQL with us. Secure your tickets here: https://lnkd.in/g9hYRZ_z. We can't wait to see you there! #PostgresML #MLOps #AI #Infrastructure #OpenSource #community #database

"Excited to share my latest project! 🚀 I've developed a Flask web application that uses regular expressions to match patterns in text. It allows users to input a test string and a regex pattern, providing them with the matches found, the number of matches, and a count of characters that match the pattern. The app is now live on AWS, providing a seamless experience for users to regex matching Introducing a powerful tool for text pattern matching! 🎯 My Flask web application uses regular expressions to help users find specific patterns in text. Simply input a test string and a regex pattern, and the app will display the matching results, along with the total number of matches and a count of matching characters. Deployed on AWS for seamless accessibility, this app is perfect for developers, data analysts, and anyone working with text data. Try it out now and discover the magic of regex matching! #Flask #RegexMatcher #AWS #TextPatternMatching

Check out this step by step process from the MongoDB Developer team on building a Gen AI app with Atlas Vector Search and Hugging Face (or any open-source platform) https://lnkd.in/g5Sz2ZNy #mongodbatlas #database #vectordatabase #vectorsearch #genai #nosql

A great way to save cost and increase performance of your #RAG #GenAI apps is to cache results to the same or semantically similar prompts. LangChain with MongoDB make that much easier with dedicated libraries and specifically for semantic caching tps://https://lnkd.in/gqaQ2zaY #AIML #appdev #llmcache

At #GoogleNEXT23 we announced #BigQuery DataFrames and our partnerships with Hex & Deepnote to provide users with more flexibility of coding languages for analyzing and understanding data. Today, we published a detailed blog on how customers can leverage #BigQuery and our partnerships to build #GenerativeAI apps. Worth a read... https://lnkd.in/gK_zJVU6

🚀 New feature for the enhanced PostgreSQL driver: Laravel + PostgreSQL + AI = ❤️ You don't need a specialized vector database for your AI applications. You can now store and search for embeddings easily with your Laravel app and PostgreSQL database 🥳

Researcher hit with $14k bill after running queries on "free" dataset, sparks debate on data usage limits A researcher using the HTTP Archive dataset on Google's BigQuery platform received a surprise bill of $14,000. This sparked a debate about how vendors should handle pricing and limit usage for "free" tools. While Google argues the user processed a large amount of data and was warned about costs, the user claims the Python library lacked cost visibility and suggests default limits or circuit breakers to prevent accidental high bills. #DataCosts #UserLimits #FreeSoftware https://lnkd.in/e2He8SaB

Integrating Firebase with Flutter: A Detailed Guide on Firestore, Storage, and More #flutter #flutterdev #dart #storage #nosql