Orkes’ Post

Kudos to Matteo Casu from Semantic Partners for this great technical write-up about building a simple RAG retriever over a #knowledgegraph, using open, offline #LLM models. We hope that kind of implementation strategies empower others to build similar AI-enhanced knowledge retrieval systems. https://hubs.la/Q02yPJSS0 #AIinAction

This is a great and practical write up how to use Ontotext GraphDB with RAG retriever.

Kudos to Matteo Casu from Semantic Partners for this great technical write-up about building a simple RAG retriever over a #knowledgegraph, using open, offline #LLM models. We hope that kind of implementation strategies empower others to build similar AI-enhanced knowledge retrieval systems. https://hubs.la/Q02DRjPf0 #AIinAction

Enhancing File Management Efficiency with Dir-Assistant and Advanced Language Models In the realm of file management, efficiency is paramount, particularly when confronted with sprawling directory structures. The arduous task of sifting through countless files to pinpoint relevant information can prove to be a time-consuming endeavor. This challenge is further compounded when users are tasked with comprehending or modifying multiple files swiftly. Conventional methods of file management and search necessitate a paradigm shift to effectively address these demands. https://is.gd/KsTe7D #AI #artificialintelligence #DirAssistant #filemanagement #llm #machinelearning #Software

Knowledge graphs are the way for making your products and services aligned with AI economy. Actions you can take now: 1. Build your public dataset for AI bots to learn about your business, products and services. 2. Ensure they(AI) learn the ways to work with your business. Newer generation is not going to come again asking if you are not transparent in the first place. So be open and transparent. Hiding and layering is not going to work. 3. Keep feeding the AI bots with knowledge graphs, as that is an easy way to learn about your services without retraining. 4. Make your K-graphs available to search engines for newer SEO models where AI friendliness takes higher seat. 5. Ensure that your K-graphs are complete and updated at regular basis. Drive your internal processes to be run with K-graphs so that you can automate many of the old processes arounf documentation and learnings with K-graphs. Learn more at cyberium.info

🚀Check out our latest blog, "Automating Insight: The Fusion of Topic Modeling and LLMs," where Sayali Pophale explores the powerful synergy between topic modeling algorithms and Large Language Models (LLMs). Discover how this convergence is revolutionizing automated insights, with profound implications for industries such as finance and healthcare.💹👩⚕️ Read the blog here: https://lnkd.in/dtjnebZ4 #TopicModeling #Insights #LLM #LargeLanguageModels #Finance #Healthcare #AlgoFabric

📲 Calling all RAG and agentic developers: the beta Pryon Retrieval SDK is now available! Pryon Retrieval SDK enables developers to quickly build AI-powered retrieval experiences and more easily experiment with custom #RAG or #agentic applications. Retrieval pairs with ingestion to provide trusted contextual answers with full source attribution — all with enterprise-class accuracy, latency, and scale. Whichever experience suits your needs — a bot, widget, or an application — the beta Retrieval SDK is the foundation for you. Learn more about Pryon Retrieval SDK and join the beta waitlist now: https://lnkd.in/g6TtPn_M #RetrievalAugmentedGeneration #GenAI

2024 Hottest Skill they say : Here's a little take on the Retrieval Augmented Generation from my side. Could you recommend resources for a comprehensive understanding of Retrieval Augmented Generation? #retrievalaugmentedgeneration #vectordatabase #llmops(:xD)

You've heard of LLM, but have you heard of RAG? Here's how Retrieval Augmented Generation embeds your data to directly into your LLM prompts: sforce.co/4cUhhUU

Introducing the Pryon Ingestion SDK! If you’ve tried building RAG solutions, you know that wrangling all of your disparate messy content is a pain in the butt. The Pryon Ingestion SDK makes it a breeze! Check out how.