Patrick McFadin’s Post

Heard the news yet? #AI just got 💯x easier now that Langflow joined DataStax! 🔥 With Langflow ⛓️, developers can build #RAG apps in minutes with low-code + visual framework built on top of Langchain! 💪 Check it out ➡️ https://ow.ly/JGSm50ReKH4

Check out this webinar on June 12th, where our own Lance Martin will chat about the LangChain x Groq integration and how to build an LLM agent app with code, alongside a great crew from Groq and Langflow!

Major updates from Oxylabs! We’re introducing #OxyCopilot - the FIRST AI-powered web scraping assistant, and announcing essential upgrades to our Scraper APIs! ➡ #OxyCopilot generates code for scraping requests and parsing instructions, excelling at identifying complex parsing patterns with advanced LLMs. ➡ Unified #WebScraperAPI: we’ve merged all our APIs, offering less complexity, lower costs, and faster access to your needed data. All of this is designed to simplify your web scraping projects and save you time and money. Try it out today: https://lnkd.in/dNaW_PHk

🚀 Never. Stop. Launching. 😅 A few months ago I asked if any of my network was working in Large Language Models (LLMs). Turns out - lots of you are! We wanted to explore the idea of using Tilores as a source of customer data for enterprise LLMs. We spoke to lots of GenAI experts and they all agreed that Tilores would be an ideal customer data source for enterprise LLMs. So we have built an integration with LangChain - the leading LLM framework - so that anybody can easily unify their scattered customer data, and make it accessible to a LLM for use cases such as customer service support. 🔜 We are launching this soon on Product Hunt - and to make this launch a success we need help from YOU. 🙏 If you can take 10s to follow this link 👇 and click "notify me" - I would really appreciate it. It really makes a difference for the launch! 👨🚀 👨🚀 👨🚀 https://lnkd.in/dq9f3V8v #LargeLanguageModels #RAG #ProductHunt

Major updates from Oxylabs! We’re introducing #OxyCopilot - the FIRST AI-powered web scraping assistant, and announcing essential upgrades to our Scraper APIs! ➡ #OxyCopilot generates code for scraping requests and parsing instructions, excelling at identifying complex parsing patterns with advanced LLMs. ➡ Unified #WebScraperAPI: we’ve merged all our APIs, offering less complexity, lower costs, and faster access to your needed data. All of this is designed to simplify your web scraping projects and save you time and money. Try it out today: https://lnkd.in/gbMf7v26

Major updates from Oxylabs! We’re introducing #OxyCopilot - the FIRST AI-powered web scraping assistant, and announcing essential upgrades to our Scraper APIs! ➡ #OxyCopilot generates code for scraping requests and parsing instructions, excelling at identifying complex parsing patterns with advanced LLMs. ➡ Unified #WebScraperAPI: we’ve merged all our APIs, offering less complexity, lower costs, and faster access to your needed data. All of this is designed to simplify your web scraping projects and save you time and money. Try it out today: https://lnkd.in/gbMf7v26

Introducing Askify - My Weekend Project! 🚀 Hey everyone! This weekend, I embarked on a fun project inspired by a cool document processing tool I came across. 💻 Using OpenAI API, Langchain, Vector database, and a few document processing libraries, I created Askify - my own version of the tool! Features: Summarization: Quickly summarize lengthy documents for easy understanding. Ask Your Document: Ask specific questions about your document, and Askify will provide answers. Generate Quiz: Turn your document into a quiz to aid in learning . Check it out : https://lnkd.in/eVkDZZ3M Explore code : https://lnkd.in/eyvDhZmm #openapi #langchain #vectordatabase #askify #llm

Just pushed support for tools using enums. ⛏️ This comes in handy when segmenting, tagging or refining data. Also working on a SDK that will make agent configs much easier across the most popular frameworks such as #autogen #langchain #bedrock, #superagent and #llamaindex.

🎉 LangChain 0.3.0 + Pydantic v2 = The Dynamic Duo You Didn’t Know You Needed! 💥 You might be wondering, why should you care? Well, let me break it down: ⚡ Blazing Fast Performance: Pydantic v2 is like the caffeine boost your app didn’t know it needed! Data validation just got a whole lot faster, making your workflows snappy. 🛠 Flexibility that’ll make you smile: More customization options, less repetitive code. It’s like having a Swiss Army knife for your data models—without the sharp edges. 🧰 💼 Seamless Integration: LangChain and Pydantic v2 are now the ultimate duo, bringing smoother schema validation and less debugging. Think of it as your app’s new personal assistant that never sleeps! Curious yet? If you're building anything LLM-powered, this is your chance to supercharge your development game. Check out LangChain 0.3.0 and see what all the buzz is about! 🐝 #LangChain #Pydantic #LLMs #GenerativeAI #AI #PythonMagic

You want to build a #RAG (retriever augmented generation) but you are dealing with sensitive data and can't share it with a third-party provider? 🤔 Then this post is for you. 🤗 You can create an in-house solution that uses open-source LLMs to generate embeddings and content. In this post, I’ll guide you through designing such a system and building a powerful solution tailored to your data. I’ll also provide key pointers and considerations in the comments to help you navigate potential challenges. Stay tuned for future posts where I’ll cover how to deploy this system for user access. P.S. write a comment if you have some questions or are interested in the source code 😊 Happy coding 💻 #LLMS #opensource #RAG #chatbot #sensitivedata #medicalapp #langchain #ollama #qdrant #fastapi