Cognosa in the Spotlight: Why an AI-as-a-Service Solution Might Be Right for Your Business
Every few years, a technology shift quietly changes how work gets done.
AI-driven automation—especially Retrieval-Augmented Generation (RAG)—is one of those shifts. Yet many organizations aren’t benefiting from it. Not because the technology isn’t ready, but because their own data isn’t being used to make AI truly useful.
One reason this can happen is that teams think about using AI to automate work as it is currently done. This can help, feel comfortable, and leverage existing knowledge and processes. But it might also be a trap—preventing your team from imagining a better way to get things done based on the expanded capabilities of truly “smart” IT solutions that leverage the latest technologies.
Because it can be a critical part of any AI-enabled solution, CogWrite Semantic Technologies built Cognosa to thoroughly explore implementation choices and possibilities. Our core implementation now supports proof-of-concept exploration, rapid prototyping, and model performance testing.
Our RAG implementation supports multiple vector database providers, including Qdrant, Chroma, and pgvector. It also supports a wide range of LLMs, including models from OpenAI, Anthropic, Google, and Alibaba accessed through APIs, as well as nearly any open-source or proprietary model hosted locally, in a data center, or in the cloud. We have used the open-source Ollama project to host models on our own AWS EC2 instances, on powerful Mac Studio systems in our offices, and even on laptops using smaller models for demonstration purposes.
For organizations considering uses of AI beyond chatbot interfaces, our Cognosa platform offers a convenient way to quickly test LLMs with private data and explore what is possible.