Nuclia: Agentic RAG-as-a-Service for AI Search

Nuclia transforms scattered, unstructured data into a fully searchable AI knowledge repository. By automatically ingesting internal and external sources—documents, video, audio, and images—it extracts and indexes content so businesses can build intelligent search and generative answer experiences without manual data wrangling. Its agentic RAG-as-a-Service architecture handles the heavy lifting of transcription, parsing, and chunking, letting teams focus on delivering value rather than infrastructure. At its core, Nuclia offers a modular RAG pipeline that can be tailored to specific retrieval and embedding strategies, backed by NucliaDB, its open-source AI search database ensuring full data governance. Users can plug in leading LLMs like ChatGPT-4o or Gemini Flash to generate insights, or leverage the no-code widget for quick deployment. Built-in quality metrics help teams continuously monitor and improve their AI search performance. Whether powering a customer support chatbot, an internal knowledge hub, or product content enrichment, Nuclia is designed to help organizations unlock new business opportunities and empower teams and customers with generative AI—wherever their data lives.

1. Connect and index any type of data—documents, audio, video, or images—in any language using Nuclia's ingestion tools. 2. Choose your preferred LLM to extract insights and generate answers from your indexed content. 3. Define custom retrieval and chunking strategies to optimize search relevance. 4. Evaluate and select from multiple embedding models based on your use case. 5. Deploy via the Understanding API for developers or the no-code widget for quick, code-free integration into products or websites.