Nuclia AI Capabilities

Nuclia prepares your unstructured data for AI and provides a diverse set of AI capabilities right out of the box. This allows you to concentrate on crafting your own AI product and delivering value, rather than investing time in developing capabilities

-> RAG-as-a-Service (Retrieval Augmeneted Generation as a Service)
-> AI Search and Generative Answers for unstrucutred data
-> AI auto classification
-> AI Summarization for your files
-> Multiple LLMs in just a click
-> Personalised user prompts definition
-> Named Entity detection & Knowledge Graph
-> AI Search Copilot
-> Generated Q&A
-> Synthetic questions generation
-> Continuous training and model adapters
-> Prompt Lab for LLM validation
-> AI Agents

RAG-as-a-Service (Retrieval Augmented Generation as a Service)

RAG (Retrieval Augmented Generation) is a technique that combines retrieving and generative assignments in natural language processing tasks.

RAG is commonly used in question-answering and knowledge systems. The retrieval component quickly finds relevant sources containing potential answers from a knowledge base, and the generation component refines and generates a cohesive response.

Nuclia automatically indexes your data and uses RAG to provide the best answers and results.

Learn more about RAG ->

AI Search and Generative Answers

AI Search in simpler terms signifies the experience of a regular search that is enriched with AI in all stages of the process. When a user asks a question or makes a search query, Nuclia translates the query and provides a result, based only on the indexed data that best matches both keywords and human meaning. With all the matching pieces in place, the next step is sending them as a context to an LLM (Large Language Model) to provide an answer.

Nuclia always shows the specific parts of data used to generate an answer. If the organization does not have an answer to a specific query, Nuclia does not answer.

Learn more about AI search ->

AI Classifications

Classifications, or labels, are the way to categorize information using label sets, which simplifies processes used to retrieve information from NucliaDB.

With Nuclia, you can train your own AI Classification models and apply them to full resources (ex. documents) or specific paragraphs from your data.

AI Summarization

Nuclia automatically generates AI summaries from data. From videos to large PDFs, Nuclia can create summaries regardless of the length of the file.

For deeper and more industry-centric summaries, with Nuclia you can customize the sections, length, and look of a summary.

Multiple LLMs in just a click

Nuclia integrates with ChatGPT 3.5, ChatGPT 4, Gemini, Anthropic 2.1 and 3, Mistral Large and Mixtral, Gemma and Nuclia Everest, Nuclia’s own 100% private and secure LLM.

Seamlessly change one LLM to another with just a click.

User Prompts

Define the prompt and the behavior of the answers provided by the language model from Nuclia’s Dashboard.

Use our default prompt examples or create yours and see them applied immediately.

Named Entity Recognition

Named Entity Recognition technology is a natural language processing method that classifies entities (terms) into predefined categories – names, dates, locations, organizations, etc.

Nuclia detects out-of-the-box 16 types of Named Entities and automatically indexes them generating a Knowledge Graph from your data.

AI Search Copilot

Nuclia AI Search Copilot is a simple tool that can be customized and set up according to specific use cases. The agent (in simpler terms, chatbot) interacts with your customers or employers and can behave like an employee support tool, a customer service agent, or even a trained troubleshooting agent.

This translates into a productivity boost and, at the same time, could raise satisfaction rates and give all sides an overall better experience in communication.

Generated Q&A

FAQs, Q&As, forum messages, emails, etc.. Organizations have a huge amount of information answers to their users’ questions.

Nuclia allows organizations to use their already-existing information in the form of Q&As to automatically answer questions already solved. Thanks to the understanding of the real meaning of the user’s query, Nuclia can provide the right answers even if the question is formulated differently.

Continuous Training and Model Adapters

Nuclia allows its users to fine-tune their own LLM or create an “Adapter” for the most popular LLM players. This means that you can have your own version of ChatGPT, Antrophic, Gemini, etc…

The process keeps running continuously and translates into better answers, understanding, and training of customers’ specific knowledge domains.

Synthetic Questions Generation

Nuclia’s Synthetic Question Generation is the capability to automatically generate questions and answers from content.

This means that, given a specific document, Nuclia automatically generates every possible question and answer that can be asked and answered from the content.

This capability is very useful to guide users to ask the right questions. Some popular search engines name this functionality “Did you mean?” or “User also ask for …” when answering users’ queries.

Prompt Lab for LLM validation

The Nuclia Prompt Lab allows you to test how the different LLMs behave and answer questions with your own prompts and your own data.

Save hours of experiments, align the LLM with your company, and increase your product value.

> Learn more about the Prompt Lab