deepset

💫 𝐇𝐚𝐲𝐬𝐭𝐚𝐜𝐤 𝐢𝐬 𝐭𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐨𝐧 𝐆𝐢𝐭𝐡𝐮𝐛! 💫 If you're looking to build production-ready LLM applications, #Haystack is the open-source Python framework you need. Ready to get started? Explore Haystack’s "Get Started" page or dive into the DeepLearning.AI course: 𝘉𝘶𝘪𝘭𝘥𝘪𝘯𝘨 𝘈𝘐 𝘈𝘱𝘱𝘭𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 𝘸𝘪𝘵𝘩 𝘏𝘢𝘺𝘴𝘵𝘢𝘤𝘬 💙 Haystack Get Started: https://lnkd.in/eyTjaa37 DeepLearning.AI course: https://lnkd.in/eDRte_SH #llm #rag #github #opensource #python

Download link below 👇 Is your organization ready to fully harness the power of AI? The rapid growth of AI-driven technologies presents incredible opportunities, but many companies struggle with building and managing effective AI teams. It's not just about the technology—success depends on seamless collaboration between data science, software development, and executive leadership. 🎯 Discover how to overcome these challenges in our latest whitepaper: 📌 The Skills Your AI Team Needs: Identify the critical skills required for each team member to drive successful AI projects. 📌 Effective Leadership Styles: Learn what leadership approaches can cultivate a high-performing and innovative AI team. 📌 Strategies for Cross-Functional Collaboration: Bridge the gap between data science, software development, and the C-suite to build a cohesive, product-focused AI team. 📥 Download the whitepaper now and position your organization for AI success! https://lnkd.in/gH7x3ZwK

Don't miss our DeepLearning.AI short course AMA session for #Haystack on September 10th 🚀 Come along with all of your questions 👇

Our next webinar is coming up on 29th August. Details below 👇 Dr. Jasper Schwenzow will show you how to use LLMs to make querying your database feel effortless. Here’s what we’ll dive into: 💡 Why LLMs often struggle with tabular data—and how to fix it. 🔗 How LLMs can connect different types of data seamlessly. 🛠️ Easy ways to improve model accuracy and responsiveness. 📈 Real examples of companies using this to get clear insights from their data. 🗣️ How to add an AI layer to your Snowflake data for natural language queries. https://lnkd.in/g5CGU3Jb

🛠️ Are you interested in building AI applications or leveling up your AI development skills? Look no further! Our new DeepLearning.AI short course "Building AI Applications with Haystack" is now live! ⏰ In just one hour, you will: ✔️ Master the basics of our open source AI framework Haystack to make your development process more modular and your apps robust and flexible ✔️ Get step-by-step guidance on creating a RAG Pipeline and a custom AI components ✔️ Learn advanced concepts around agents, multi-step workflows, self-reflection, and more 👉 Sign up here: https://lnkd.in/eDRte_SH 👏 Many thanks to the deepset DevRel team and our partners over at DeepLearning.AI Andrew Ng, Esmaeil Gargari, Geoff Ladwig for bringing this course to life. Happy learning! 🎓

Super excited to announce our latest integration: deepset's Haystack! 🚜 Now you can collect telemetry data on your Haystack pipelines with a single call to our auto-instrumentor. Get call-by-call insights into what is happening in your application, view latency and token usage, and run evaluations to measure performance. Check out the integration here: https://lnkd.in/grM7_h2K

🚀Must-See Webinar: September 4th 🚀 We're teaming up with NVIDIA to supercharge Haystack and deepset Cloud with the power of NVIDIA NIMs! Join experts Tuana Çelik, Anshul Jindal and Mark Moyou, PhD from the deepset Haystack and NVIDIA teams as they dive into ‘Building Performant AI Applications with NVIDIA NIMs and Haystack.’ 🔥 What You'll Learn: ✅ The essentials of NVIDIA NIM—containerized microservices that turbocharge AI model inference. ✅ How to seamlessly integrate Haystack with NVIDIA NIM to build AI applications that shine, whether on-prem or in the cloud. 🗓 Can’t wait to see you there! Register here: https://lnkd.in/eZqge3GS #GenAI #RAG #AgenticAI #haystack #NVIDIA

Do you ever go to your favorite white-boarding app to map out AI systems? I do! It helps me immensely as these systems get more and more complex. For Haystack pipelines, we just announced our new product that can automatically map a whiteboard-like visual environment to Haystack code: ✅ Access the entire component library of Haystack ✅ Create and configure your pipelines in a visual environment ✅ Export your pipelines as Python-Code or YAML configuration file You can sign-up for early access to deepset Studio here: https://lnkd.in/dSKyUcMG Stay tuned for more!

GraphRAG vs RAG Interactive Demo - Follow link below 👇  Curious about how GraphRAG stacks up against traditional RAG? We recently built this demo featuring GraphRAG on quarterly earnings call transcripts. The demo showcases a side-by-side comparison across companies in diverse sectors like software, financial services, and automotive. The results are impressive! Interested in learning more? Dive into the demo and see the difference for yourself. We’d love to hear your thoughts! Don’t hesitate to reach out for more details! https://lnkd.in/g5Zzn8UH #RAG #GraphRAG

Day 1 recap at #AI42024: Yesterday’s session on "Building AI Products That Stick" with deepset’s Mathis Lucka and Dan Coates from YPulse was a great primer on ensuring AI success with a product mindset—thanks to everyone who joined us! As we kick off our final day at Ai4 - Artificial Intelligence Conferences, we invite you to continue the conversation at booth #201 to discuss the 4 keys to creating AI products that users actually want: 🔎 Understand user needs 🛠 Prototype with purpose 💫 Lower barriers to adoption with constant iteration 📈 Measure success