# Introduction Unibrain provides a complete solution that transforms your AI from unreliable to trusted by combining embedding, vector storage, reranking, and more. Our platform delivers factual, relevant answers while dramatically reducing costs and development time. ### **With Unibrain, you can:** * Eliminate hallucinations with up to 95% improvement in factual accuracy * Process and understand content across multiple languages and formats * Scale infinitely without performance degradation * Connect to all your data sources with minimal development effort * Monitor retrieval performance with comprehensive observability * Reduce LLM token usage by up to 70% with optimized context windows This documentation will guide you through every aspect of implementing Unibrain's powerful retrieval infrastructure, from initial setup to advanced search operations, while ensuring your data remains secure with enterprise-grade encryption. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.unibrain.ai/brain/documentation/introduction.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.