Data & AI

Customer support is about providing answers to people’s questions. But it’s about solving problems. In many cases, the solution is written somewhere in your knowledge base. But it might be hard to find, or it might not be accessible at all. That’s where AI comes in. AI can help you optimize your customer support by making your knowledge base more accessible and easier to use.

Historically, when interacting with machines, humans had to adapt to the machine’s language to ask questions—typically using SQL queries—and then interpret the machine’s response. This response usually comes in a structured data format, such as a table or a JSON string, following a specific schema. This is the purpose of the JavaScript Object Notation (JSON) output option on Nuclia’s "/ask" endpoint.

NucliaDB’s indexing system is the backbone of its Retrieval-Augmented Generation capabilities, organizing extracted text, inferred entities and semantic vectors from customer documents. This design enables lightning-fast, context-aware searches that power Nuclia’s advanced data retrieval features.

Designed for Nuclia’s AI Search platform, NucliaDB is a multilayered, dynamically sharded storage engine that unifies blob storage, key-value metadata, and vector indexing to scale semantic search over unstructured data. Its cloud-native architecture, powered by NATS and gRPC, enables fault-tolerant distributed search while still offering a lightweight standalone mode.