Contextual AI

ICYMI: Our new instruction-following reranker is changing how AI handles conflicting data! 🎯 In this short tutorial, AI engineer Rajiv Shah demonstrates how easy it is to implement our reranker and give it natural language instructions to resolve contradicting information in your knowledge base. See how you can tell the reranker exactly what to prioritize: • "Prefer recent documents" • "Prioritize academic sources" • "Give more weight to official documentation" The best part? It's a drop-in replacement for your existing reranker—just a few lines of code! The first 50 million tokens are free. 👉 Get started today: https://lnkd.in/gPtYwy-v

If you’re at NVIDIA GTC this week come see me at the Contextual AI booth in the Inception Pavilion - 3028! #gtc25

Ever wondered how AI models can tap into real-time enterprise data without... well, let's just say, misinterpreting things? That's where Retrieval-Augmented Generation (RAG) comes in—a technique that enhances AI's accuracy by fetching relevant information from external sources. https://lnkd.in/dZwd8VzB Douwe Kiela, who did his PhD in grounding AI models and went on to co-invent RAG during his tenure at Meta, joined me on the It Depends podcast. Douwe, now CEO of Contextual AI, shared some seriously deep insights on how to make AI more accurate and reduce, shall we say, creative interpretations of data. We also talked about a range of topics from Anthropic’s Model Context Protocol (MCP) to his transition from a research scientist to a CEO. #AI #GenAI #RAG #Data #ML #LLM

Thrilled to share that Contextual AI has been named to Fast Company's 2025 Most Innovative Companies list for Applied AI! A huge thank you to our team, customers, and partners for being part of this journey. We're so honored to be recognized for our innovative approach to Enterprise AI and the business impact we're delivering to customers. We've been shipping new product capabilities at a breakneck pace, and this award is a testament to the clarity of our vision for specialized RAG agents and the dedication of our teams who work tirelessly to create an incredible customer experience. Exciting things ahead! Read more: https://lnkd.in/gCgGd6s8 #FCMostInnovative #AIInnovation #EnterpriseAI #ContextualAI

It’s going to be a busy week in San Jose! We’re at NVIDIA GTC 2025, meeting AI leaders and developers from around the world to discuss specialized RAG agents & real-world AI deployment. 📍 Come by Booth #3028 to chat with the team and see how enterprises like Qualcomm and HSBC are unlocking AI’s full potential. #NVIDIA #GTC2025 #EnterpriseAI #AIInnovation

We're #hiring a new Technical Account Manager in Mountain View, California. Apply today or share this post with your network.

Should you use RAG or fine-tuning for your AI use case? 🤔 The approaches are often presented as conflicting, but the truth is that you need both. Our latest blog shows how combining RAG with specialization techniques like fine-tuning, prompt engineering, and hyperparameter adjustments leads to superior performance compared to RAG-only systems. In fact, specialized RAG agents have achieved nearly 30% greater accuracy than traditional RAG-only systems built with leading frontier models. The difference? A standard RAG agent scans your knowledge base for relevant content. A specialized RAG agent applies domain-specific intelligence—understanding your company's jargon, applying contextual reasoning, and adhering to your expected output formats. Learn how specialization works and how you can put it into practice with the Contextual AI Platform! 👉 Read the full blog: https://lnkd.in/gH59jQw7

Just returned from an incredible three days in Vegas for the inaugural HumanX conference! My biggest takeaway: businesses are looking for real solutions to real problems. The hype around AI is peaking, and enterprises don't have much patience left to see real ROI. Some highlights from conversations I had this week: - Build AND Buy: The decision is no longer build vs buy. Enterprise AI teams are looking to build custom solutions to capture differentiated value while also buying powerful platform tools to accelerate their time-to-value. - Transparency is paramount: AI will make mistakes. Enterprises need to know how to deal with those mistakes with easy-to-use checks and audit trails. - Speed is everything: No one wants to be left behind. - Hype vs reality: The pace of innovation and attention-grabbing AI announcements is overwhelming, and it's hard to keep up. Enterprises are looking for trusted partners and vendors with opinionated roadmaps that they can follow along. Thanks for having me and see you at next year's event in San Francisco! #HumanX2026

We're #hiring a new Sales Engineer in Mountain View, California. Apply today or share this post with your network.

🚀 Join us next week at NVIDIA GTC 2025! March 17-21, San Jose, CA Enterprise AI is at a turning point. The challenge isn’t proving AI’s potential, it’s getting AI agents into production at scale. That’s what we’re solving at Contextual AI. 📍 Visit us at Booth #3028 to see how specialized RAG agents are transforming AI for finance, engineering, professional services, and other knowledge-intensive industries. 🔗 Let’s connect at GTC! 🤝 Who you can meet next week: Douwe Kiela, Amanpreet Singh, Aditya Bindal, Ahmad Raza Khan, Mike K., John Marini, Samarth Madduru, Jason Silver, Jonathan Feng, Sean Smith, Jay Chen, Beau Cowan