Azure OpenAI app to use simple English to query variety of datastores
CogniSights is an Azure Open AI app that makes database querying easy with NLP to SQL convert, accelerating insights and productivity.
We make it easy for your IT services to use simple English or any language to automate data insights, ease data analysis and improve productivity. The app automatically retrieves the necessary metadata from any database (RDBM / NoSQL/ Blob) to answer natural language queries about structured data from various sources. The app uses the metadata management to learn the context of the query, automate prompt generation, execute it, and generate an interactive report.
The app is designed for non-programmers such as domain experts or customer support personnel to self-serve insights from any enterprise database.
Expert programmers can teach and steward the app for best fit SQL, which will be used as few shot encoding to fit right SQL for the NLP query submitted, thus improving productivity and cutting learning curve of new folks.
Once the results are fetched, the app maintain a log of user specific historic queries and results for quick retrieval and reference. The app will need only inputs around database metadata / structures and no data leaves your premise.
We provide you support to deploy the solution on your own premise or cloud. We make it easy to continue adding new organization database metadata to enable expanded NLP to SQL insights across enterprise systems. We make upgrades as new LLMs are released.
We provide you with ease of use, improved productivity on your enterprise databases for IT services staff by leveraging plug and playAzure Open AI service with pretrained LLM like GPT and Codex. Enable infrastructure to custom train on your own enterprise metadata and deploy your own privacy ensured fine tined LLM models to the cloud and integrate with enterprise app APIs. Leverage enterprise metadata databases like Purview to automate the prompt engineering for LLM. And once your model is deployed, we make it easy to continue adding new database metadata to enable expanded self-serve across enterprise databases, improve accuracy of your trained model and make upgrades as new LLMs are released.