JP Patil’s Post

Just saw our browserbase case study! Goes into depth as to why we use them to power Structify. Thanks Paul Klein IV ! https://lnkd.in/e2RmFc5A

Check out why we use Browserbase!

🗞️ Dify v0.6.13 - Minor Release New Features - Instant response when deleting apps, with Celery workers handling the task behind. - Implemented forgotten password reset. New and Improved Tools - Nominatim - a search engine for OpenStreetMap, enabling LLM applications to work with map data. - Integrated Llama 3 and Mixtral models into DuckDuckGo - a privacy-focused search engine. - Fircrawl can now handle URL scraping and output Markdown searches when used as a tool for AI agent/workflow. Models Updates - Claude 3 from AWS Bedrock now supports function calling for tool use and parameter extraction. Plus, many many bug fixes thanks to our contributors. 🥹 See full changelog: https://lnkd.in/gEvjEZHr

Instant search is a feature that shows results as you type your query into a search bar. This provides a good user experience, as you get info right away. In this guide, Ashutosh helps you build a basic instant search feature with Flask and HTMX. https://lnkd.in/gC3uFSjB

Tap into Google Sheets' capabilities with low-code API integrations! 🗝️ Learn to effortlessly pull data from any API, featuring real-world instances from Hashnode and Serply. Perfect for analysts, marketers, and anyone aiming to enhance their workflow. #GoogleSheets #API #DataIntegration https://lnkd.in/gZcJxuB2

Decomposing valuable retrieval strategies and exposing them based on specific retrieval problems is incredibly efficient. Just went though our yet internal „NeuralInfusion“ demo where we currently 1. only re-rank if we observe underperforming ranking-signals and 2. only do Embeddings-based query expansion for queries with little or no results but suitable docs. It just works without any quirks, for every search system and is fully transparent. This is the way forward IMHO.

🚀 Introducing our latest feature: Text Insights in the Chrome Extension! 📊 Happy Sunday! Guess what I was working on last night? Check out the details here: https://lnkd.in/geeNSzt7 With version 0.2, we’ve made it easier than ever to analyze text directly from your browser. Imagine having pre-configured assistance for security audits and compliance right at your fingertips! How cool is that? 🌟 Navigating complex information just got simpler. Whether you're browsing Hacker News or any other site, you can connect to various spaces to get instant insights. No more endless Googling or switching between tabs—just post your query and let our tool do the heavy lifting! 💻✨ But that’s not all! Have you heard about Vanta charging $9k for their AI feature? Guess what—you can access similar capabilities without breaking the bank! Just pulze it! 💰✨ Ready to transform your browsing experience? Try us out at https://spaces.pulze.ai for seamless integration, or explore us anonymously at https://try.pulze.ai. Dive into the future of text analysis today! 🌐 Chrome Extension: https://lnkd.in/gETjdYW4

🚀 Sunday Funday! Check out our new Text Insights feature in the Chrome Extension—analyze text effortlessly and say goodbye to costly AI tools. Just Pulze it! 🌟 Explore at https://spaces.pulze.ai or try it anonymously at https://try.pulze.ai!

Learn how to implement debounce in a search functionality. Debounce is a technique by which we can stop the execution of a code for a certain period. Input handle change event executes when a user starts typing in a field until the user stops. So, in a situation like this, we can not hit any API or start any async process. Debounce is a way to get rid of this problem. In this video, I have implemented search functionality to search for pexels photos with a debounce effect.

Anthropic released metaprompt, a tool that boosts performance in Claude-powered apps by turning brief task descriptions into optimized prompt templates. It uses a few-shot prompt with examples and supports variables like subject, length, and tone. Accessible via a Google Colab notebook requiring an Anthropic API key, it generates high-quality prompts for specific tasks, aiding prompt engineering. Link in the comments