Langtrace

I had the opportunity to speak at the event organized by AICamp in collaboration with Langtrace and Improving, and it was amazing! It was great to meet so many talented individuals deeply invested in the AI field. A special shoutout to Karthik Kalyanaraman, co-founder of Langtrace and a fellow speaker, for sharing such insightful perspectives. Langtrace is truly doing some good work—if you haven’t already, I highly recommend checking them out! Huge thanks to Bill Liu for bringing us all together and creating this opportunity to connect, learn, and grow. Here are a few snapshots from the event—grateful for the chance to be part of this amazing community. #AICamp #ArtificialIntelligence #Networking #Langtrace #Improving #Vancouver #Community #tech

Thrilled to announce our participation in AWS re:Invent this year! Let’s connect and explore how to build highly reliable applications with AI. We’ll be sharing valuable insights and lessons learned from developers using Langtrace to create highly accurate, reliable LLM-powered products. Book a time to chat with us using this link 👉 https://lnkd.in/gyJwq_Zv

🚀 Exciting News for AI Devs in Vancouver, BC AICamp is hosting GenAI and LLMs meetup on 🗓️ Thursday Nov 28, in collaboration with Langtrace and Improving. Join us for deep dive tech talks on AI, GenAI, LLMs, food/drink, networking with speakers and fellow developers. 👉 Structured Data Extraction from Images, by Karthik Kalyanaraman 👉 Enhancing RAG Systems, by Apurva Misra 👉 and more... 📌 RSVP: https://lnkd.in/gEniQFvX p.s we are looking for passionate community managers who are enthusiastic about nurturing tech communities. Join us to build and grow the local AI/ML developer community.

🔥 Langtrace x Cerebras Systems Integration At Langtrace.ai, we're revolutionizing observability for next-gen AI workloads! Our latest blog highlights how our integration with Cerebras Systems simplifies monitoring, debugging, and optimization for even the most complex AI models. 🚀 🔍 Key takeaways: ✅ How Langtrace enhances visibility into Cerebras-powered workloads ✅ Strategies to debug and optimize efficiently ✅ Real-world insights for scaling AI applications Whether you're building cutting-edge AI systems or optimizing existing pipelines, this guide has you covered! 📖 Read the full blog here: https://lnkd.in/gwnC7rfe

🌟 Enhancing Vector Database Observability with Langtrace x Milvus We're thrilled to share our latest blog where we explore the seamless integration of Langtrace with Milvus, the leading vector database. 🧠🔍 This guide dives deep into: ✅ Best practices for monitoring and debugging vector databases ✅ How to optimize LLM-powered applications with enhanced observability ✅ Real-world use cases that demonstrate the power of this integration If you're building AI-powered solutions or working with vector search, this is a must-read! 🔗 Check out the full blog here: https://lnkd.in/g_PH5nqc Milvus

We’re thrilled to announce that Langtrace is now an official MongoDB Ecosystem Partner! Langtrace empowers MongoDB Atlas Vector Search users with OpenTelemetry-standard tracing and observability, making it easier than ever to monitor, debug, and refine AI applications for exceptional accuracy. Getting started links in the comment below 👇

🚀 Transforming Images into Insights with DSPy 📸✨ At Langtrace.ai, we're pushing the boundaries of what's possible with AI-powered applications. Our latest blog dives into how DSPy enables seamless attribute extraction from images, unlocking valuable insights from visual data. Whether you're building LLM-powered apps, optimizing e-commerce catalogs, or enhancing computer vision systems, this guide is packed with practical tips and real-world applications to get you started. 🔗 Read the full blog here: https://lnkd.in/gxBrKbGs

At Langtrace, our average time to respond to customer queries on our support channels is less than 10minutes and the maximum time we take to resolve issues including implementing feature requests is less than 30 hours. How? Nothing special, we just take user experience very seriously. When we see issue, we fix that issue and respond. Don't overcomplicate customer support especially in your early days.

We are excited to announce that Langtrace now supports storing and version controlling zod schema prompts. This means you can store zod schema prompts with in Langtrace and fetch it directly into your code, update versions, deploy a new version or roll back to an older version directly from Langtrace. Learn more via our blog post: https://lnkd.in/gQJUeMF5

🤖 With the rapid adoption of AI, transitioning from a shiny AI-powered demo to a production-ready, reliable, and accurate product has been a challenge for many engineering teams. 👇 Here's the talk I gave earlier this year at the AI Quality Conference, organized by the MLOps Community, about how we’ve been building Langtrace to tackle this very problem. https://lnkd.in/gsz7redK