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Contextual AIenterprise company RAG, has announced the general availability (GA) of the Contextual AI Platform, which helps enterprises create specialized RAG agents to support work with expertise.
While there is broad agreement that general purpose AI agents are poised to streamline many general tasks, contextual AI believes that specialized RAG agents will instead be needed to transform high-value domain-specific knowledge work. For subject matter experts in any organization, this means having AI tools that match their level of expertise and can be trusted to solve complex or technical problems with confidence. With today’s GA announcement, Contextual AI released a set of public benchmark results that demonstrate state-of-the-art performance in advanced RAG workflows across enterprise domains, outperforming frontier models such as Anthropic’s Claude 3.5 Sonnet and OpenAI’s GPT-4o.
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The contextual AI platform includes all the capabilities needed to build, evaluate and deploy specialized RAG agents, helping enterprises accelerate their higher-value AI initiatives from pilot to production and ensure near-term ROI. Fortune 500 companies across financial services, technology and professional services trust contextual AI to improve employee productivity and sift through vast amounts of noisy business data.
Qualcomm (QCOM), a global semiconductor leader, chose contextual AI after finding other RAG solutions inadequate for their highly technical and mission-critical customer engineering needs. The customer engineering team put contextual artificial intelligence into production to quickly and accurately synthesize information from tens of thousands of technical documents and streamline the resolution of complex support cases.
“Contextual AI gives me confidence that we can use generative AI to support our team, help our customers design and develop products efficiently, and set new standards for performance and quality,” said Yogi Chiniga, vice president of customer engineering at Qualcomm.
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With this GA announcement, enterprises can now use the Contextual AI Platform to build specialized RAG agents that intelligently orchestrate search and generation based on conversational context and provide highly accurate answers to complex knowledge tasks across vast corpora of structured and unstructured enterprise data.
“Enterprise AI has reached a critical inflection point,” he said Dear KeelaCEO of Contextual AI. “AI agents will soon be available to all employees of every company. However, the specialized work of experts on the issue remains largely insufficient. RAG’s specialized agents built on the Contextual AI Platform bridge this gap, enabling SMBs to increase their productivity with AI that truly understands their domain.”
The contextual AI platform is powered by RAG 2.0, which includes the joint optimization of the retriever and generator in the RAG system to provide exceptional accuracy and grounding at scale. The platform provides businesses with the following benefits:
In published benchmark results comparing Contextual AI with other leading AI companies, the Contextual AI platform has been found to outperform other solutions in all major components of the RAG pipeline (e.g. document understanding, review, grounding) as well as end-to-end accuracy , setting a new state of the art on various RAG scales. These benchmarks follow other leading research publications on Contextual AI, including LMUnit, a new paradigm for AI evaluation.