Database + large language model (LLM)

The context, accuracy and interpretability of each result generated by the AI large model are very important for the enterprise with the planning of the application of the generation AI. The epicentral database and the large language model LLM are native pairs, and the combination can help quickly build the next generation knowledge spectrum in a stand-alone and realize a lower cost, more efficient and intelligent large model landing application, releasing the vast data value to the fir

Customizing construction AI to meet enterprise level needs

The dada database utilizes advanced figure technology to introduce a trillion grade rich context for large language models, effectively enhancing the accuracy of answering large language models and achieving the application level of the corporate class. Companies can be reached at low cost and very short time costs based on a large model that can be explained with context understanding, accurate, transparent.

Customizing construction AI to meet enterprise level needs

Compared with the previous generation of knowledge maps, the dada database and the large model combine make it possible for the company to build a knowledge map based on mass data.

At the same time, users can do interactive questions and queries in natural language, not code, and lower learning and usage costs.

Number fitting: depth customization

Backwards compatibility with the world leading numerous large model tools, such as hatgpt, azureopenaiservice, googlepamlm2, chatglm2, moss, llamaindex, langchain, is complete and accessible to mainstream large language model ecology.