❄️ The Contextual AI Platform is now available as a Native app on SnowflakeDB Marketplace! Build specialized RAG agents directly within your Snowflake environment—no data movement required. 🧵

Life update: got a PhD, got an O1 visa, moved to San Francisco to work on agents at Contextual AI. I’m incredibly grateful to everyone who helped me along the way. Can’t wait to see what’s next. 🚀 I especially want to thank some key mentors that made all this possible: Thomas

The world's first instruction-following reranker, which is SOTA on leading benchmarks like BEIR, powers our platform for building specialized RAG agents. Hear from our team about why and how we built it.

🚀 Today, we're announcing Contextual Reranker - world's first 𝗶𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻-𝗳𝗼𝗹𝗹𝗼𝘄𝗶𝗻𝗴, state-of-the-art reranker. Here's our journey with the rerankers, the enterprise pain points we observed, and our solution: Since Contextual AI's inception, rerankers have

A very exciting day for open-source AI! We're releasing our biggest open source model yet -- OLMo 2 32B -- and it beats the latest GPT 3.5, GPT 4o mini, and leading open weight models like Qwen and Mistral. As usual, all data, weights, code, etc. are available. For a long time,

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

Strong BCV portfolio company representation in Fast Company's Most Innovative Companies 2025 list Congrats and keep building!

Your agent is as good as the data you train it on. Check out how our data engine under Bertie Vidgen leads to high-quality enterprise data today.

🔥 Introducing the most reliable way to evaluate LLMs and agents in production! It's time to stop “vibe testing” your AI systems. Our latest developer's guide shows you how to rigorously test AI systems so that they hold up in production, using Contextual AI's LMUnit evaluation

Go behind the scenes with Contextual AI CTO Amanpreet Singh as he breaks down the future of enterprise AI with Daniel Darling. You'll learn about grounded LLMs, specialized AI agents, and what’s next for AI in the enterprise—read the full article 👇 dub.sh/NHryEMB

Today we’re launching Prompt Adaptation, a state-of-the-art agentic system that automatically adapts prompts across LLMs. Prompt Adaptation outperforms all other methods and significantly improves accuracy over manual prompt engineering, saving you thousands of hours per year.

Fine-tuning LLMs with RL? LMUnit can help you craft complex reward functions in plain English! LMUnit just grabbed #1 spot on RewardBench2, beating Gemini2.5 by 5 pts AND we will be open sourcing LMUnit soon!🚀🥇 Great work by the team! Read William’s thread for details👇