Douwe Kiela

Douwe Kiela
Born1986 (age 39–40)
Amsterdam, Netherlands
EducationUtrecht University; University of Amsterdam; University of Cambridge
OccupationsResearcher, entrepreneur
TitleResearch Scientist Director at Google DeepMind and Former CEO of Contextual AI

Douwe Kiela is a Dutch-American research scientist and entrepreneur working in the field of artificial intelligence with a focus on machine learning and natural language processing. He is a research scientist director at Google DeepMind. He previously co-founded and served as CEO of Contextual AI,[1] an enterprise software company that provides a platform for building grounded AI agents for enterprise knowledge bases.[2][3]

He previously led the research team at Meta AI[4][5] that introduced the RAG approach in 2020,[6] co-authoring the foundational paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks."[6][7] Kiela also served as Head of Research at Hugging Face[8] and is an adjunct professor in Symbolic Systems at Stanford University.[9]

Early life and education

Douwe Kiela was born in Amsterdam, Netherlands, in 1986.

He earned a Bachelor of Science degree in Liberal Arts and Sciences from Utrecht University, with a double major in Cognitive Artificial Intelligence and Philosophy.[10] He then obtained an MSc in logic (cum laude) from the University of Amsterdam's Institute for Logic, Language and Computation (ILLC).[11] Kiela received an MPhil and PhD in Computer Science from the University of Cambridge, specializing in natural language processing and machine learning.[12]

Career

Facebook AI Research (Meta)

In 2016, Kiela joined Facebook AI Research (FAIR) as a postdoctoral researcher, later becoming a research scientist in New York. While at Meta, he co-authored papers in natural language processing,[13] with a focus on multimodal and grounded language learning. His projects included creating a virtual assistant bot[14] that could navigate tourists around a city[15][16] and leading the development of Dynabench,[17] an interactive benchmarking platform released in 2020 that used human feedback to test and improve language models.[18]

In 2020, Kiela led the Meta AI research team that introduced Retrieval-Augmented Generation (RAG), co-authoring the influential paper "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks,"[6] alongside Patrick Lewis, Ethan Perez, and other researchers.[19] The RAG framework transformed how large language models access and incorporate external information[20] by allowing them to retrieve relevant context from external knowledge bases at query time, rather than relying solely on pre-trained data.[21] This approach addressed key limitations such as hallucination, outdated information, and lack of source attribution.[22] The RAG technique has since become widely adopted in enterprise AI applications and knowledge-intensive natural language processing tasks.[23][24][25]

Hugging Face

After leaving Meta, Kiela served as Head of Research at Hugging Face.[5][26]

Contextual AI

In 2023, Kiela co-founded Contextual AI with Amanpreet Singh, another former researcher at Facebook AI Research and Hugging Face.[27][1] The Mountain View-based company develops a platform for building grounded AI agents for enterprises,[3] focusing on applications in technology, semiconductor, logistics, finance, and media sectors.[28]

Contextual AI raised $20 million in seed funding in June 2023, led by Bain Capital Ventures.[27][29] In August 2024, the company completed an $80 million Series A[30] funding round led by Greycroft, with participation from Bezos Expeditions, NVentures (Nvidia), HSBC Ventures, and Snowflake Ventures, among others.[31][32]

In May 2026, Kiela joined Google DeepMind as part of a licensing agreement between Google and Contextual AI under which more than 20 Contextual AI researchers joined DeepMind.[33] Following his departure, Jay Chen became interim CEO of Contextual AI.[34]

Academic roles

Douwe Kiela serves as an adjunct professor in Symbolic Systems at Stanford University.[9] In a 2023 interview with the Stanford Daily, he commented on the development of Alpaca,[35] a low-cost instruction-finetuned model based on Meta's LLaMA, and emphasized the importance of open academic research in large language models.

References

  1. 1 2 Wiggers, Kyle (June 7, 2023). "Contextual AI launches from stealth to build enterprise-focused language models". TechCrunch.
  2. ↑ MacManus, Richard (May 28, 2025). "No, MCP Hasn't Killed RAG — in Fact, They're Complementary". The New Stack.
  3. 1 2 Wolfberg, Elias (August 29, 2024). "From RAG to Richness: Startup Uplevels Retrieval-Augmented Generation for Enterprises". NVIDIA.
  4. ↑ "Meta AI: People". Meta AI. 2016.
  5. 1 2 Bradbury, Rosie (May 16, 2022). "The Meta AI mafia: Meet 12 artificial intelligence researchers and engineers who quit Meta for hot startups in everything from predictive medicine to careers". Business Insider.
  6. 1 2 3 Kiela, Douwe; Lewis, Patrick; Perez, Ethan; Piktus, Aleksandra; Petroni, Fabio; Karpukhin, Vladimir; Goyal, Naman; Küttler, Heinrich; Lewis, Mike; Yih, Wen-tau; Rocktäschel, Tim; Riedel, Sebastian (22 May 2020). "Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks". arXiv:2005.11401v4 [cs.CL].
  7. ↑ Kiela, Douwe; Riedel, Sebastian; Lewis, Patrick; Piktus, Aleksandra (September 28, 2020). "Retrieval Augmented Generation: Streamlining the creation of intelligent natural language processing models". Meta.
  8. ↑ "Douwe Kiela. Hugging Face". 2022.
  9. 1 2 "Stanford Profiles: Douwe Hendrik Kiela". Stanford. 2022.
  10. ↑ "TWIML AI: Multimodal, Multi-Lingual NLP at Hugging Face". TWIML AI Podcast. 29 August 2022.
  11. ↑ "University of Amsterdam, MoL Thesis Archive". University of Amsterdam.
  12. ↑ "Top AI Researcher on GPT 4.5, DeepSeek and Agentic RAG | Douwe Kiela, CEO, Contextual AI". The MAD Podcast with Matt Turck. March 6, 2025.
  13. ↑ Gur, Shir; Neverova, Natalia; Stauffer, Chris; Lim, Ser-Nam; Kiela, Douwe; Reiter, Austin (April 16, 2021). "Cross-Modal Retrieval Augmentation for Multi-Modal Classification". arXiv:2104.08108 [cs.CV].
  14. ↑ Terdiman, Daniel (July 11, 2018). "Facebook taught bots to navigate New York City using natural language". Fast Company.
  15. ↑ Kiela, Douwe; de Vries, Harm; Shuster, Kurt; Batra, Dhruv; Parikh, Devi; Weston, Jason (July 9, 2018). "Talk the Walk: Navigating New York City through Grounded Dialogue". arXiv:1807.03367 [cs.AI].
  16. ↑ Vincent, James (July 11, 2018). "Facebook sets a new task for AI: guide a virtual tourist around New York". The Verge.
  17. ↑ Wiggers, Kyle (September 24, 2020). "Facebook's Dynabench aims to make AI models more robust through distributed human workers". VentureBeat.
  18. ↑ "Introducing Dynabench: Rethinking the way we benchmark AI". Meta. September 24, 2020.
  19. ↑ Merritt, Rick (January 31, 2025). "What Is Retrieval-Augmented Generation, aka RAG?". NVIDIA.
  20. ↑ Leng, Quinn; Portes, Jacob; Havens, Sam; Zaharia, Matei; Carbin, Michael (November 5, 2024). "Long Context RAG Performance of Large Language Models". arXiv:2411.03538 [cs.LG].
  21. ↑ Singhal, Rahul (November 30, 2023). "The Power Of RAG: How Retrieval-Augmented Generation Enhances Generative AI". Forbes.
  22. ↑ Shuster, Kurt; Poff, Spencer; Chen, Moya; Kiela, Douwe; Weston, Jason (April 15, 2021). "Retrieval Augmentation Reduces Hallucination in Conversation". arXiv:2104.07567 [cs.CL].
  23. ↑ Lin, Belle (May 21, 2024). "How a Decades-Old Technology and a Paper From Meta Created an AI Industry Standard". The Wall Street Journal.
  24. ↑ Gao, Yunfan; Xiong, Yun; Gao, Xinyu; Jia, Kangxiang; Pan, Jinliu; Bi, Yuxi; Dai, Yi; Sun, Jiawei; Wang, Meng; Wang, Haofen (December 18, 2023). "Retrieval-Augmented Generation for Large Language Models: A Survey". arXiv:2312.10997 [cs.CL].
  25. ↑ Brown, Andrew; Roman, Muhammad; Devereux, Barry (August 8, 2025). "A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges". arXiv:2508.06401 [cs.DL].
  26. ↑ Shead, Sam (April 1, 2022). "Meta's A.I. exodus: Top talent quits as the lab tries to keep pace with rivals". CNBC.
  27. 1 2 Franzen, Carl (June 7, 2023). "Contextual AI emerges from stealth with $20M to pursue 'artificial specialized intelligence'". VentureBeat.
  28. ↑ Patangia, Pahal (October 28, 2024). "Fintech Leaders Tap Generative AI for Safer, Faster, More Accurate Financial Services". NVIDIA.
  29. ↑ Deutscher, Maria (June 7, 2023). "Contextual AI launches with $20M to build more reliable large language models for enterprises". SiliconAngle.
  30. ↑ Fink, Charlie (August 9, 2024). "Contextual AI Raises $80 Million, Judge Calls Google A Monopolist, Bytedance Intros Jimeng Text-To-Video AI". Forbes.
  31. ↑ Gain, Vish (August 2, 2024). "San Francisco's Contextual AI raises $80m to scale platform". SiliconRepublic.
  32. ↑ Cai, Kenrick (August 1, 2024). "Contextual AI raises $80 mln for model-enhancing technique". Reuters.
  33. ↑ "Google Hires Staff From Bezos-Backed Contextual AI in Licensing Deal". Bloomberg News. 2026-05-19.
  34. ↑ Chen, Jay (2026-05-19). "After nearly 2 years at Contextual AI, I'm taking on a new role as Interim CEO". LinkedIn.
  35. ↑ Turk, Matthew (April 2, 2023). "How Stanford researchers attempted to make a new ChatGPT with less than $600". The Stanford Daily.
This page is issued from Wikipedia. The text is available under Creative Commons Attribution-Share Alike 4.0 unless otherwise noted. Additional terms may apply for the media files.