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RAG Engine

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5.0
Serving customers since
2025
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RAG Engine

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RAG Engine is an AI infrastructure platform designed to transform enterprise data into intelligent, searchable applications. It offers a comprehensive suite of tools for production-grade retrieval-augmented generation (RAG), integrating hybrid search capabilities, neural reranking, and knowledge graph entity extraction into a single managed solution. With support for over 50 data sources, including Google Drive, Notion, Slack, Confluence, Salesforce, and various databases, RAG Engine enables seamless deployment of AI chatbots across platforms like websites, Slack, and Microsoft Teams. Trusted by enterprises, it ensures compliance with SOC 2 and GDPR standards and supports over 100 languages. Key Features and Functionality: - Hybrid Search: Combines BM25 and dense vector search methodologies to deliver precise and relevant search results. - Neural Reranking: Utilizes cross-encoders to enhance the relevance of search outcomes by reordering results based on contextual understanding. - Knowledge Graph Entity Extraction: Identifies and structures entities within data to build comprehensive knowledge graphs, facilitating advanced data relationships and insights. - Extensive Data Source Integration: Supports integration with over 50 data sources, including popular platforms like Google Drive, Notion, Slack, Confluence, Salesforce, and various databases, ensuring a unified data ecosystem. - Multi-Platform Deployment: Enables rapid deployment of AI chatbots on websites, Slack, and Microsoft Teams, enhancing user engagement and support capabilities. - Enterprise-Grade Compliance: Adheres to SOC 2 and GDPR standards, providing robust security and privacy measures for enterprise applications. - Multilingual Support: Offers support for over 100 languages, catering to a diverse global user base. Primary Value and User Solutions: RAG Engine addresses the challenge of transforming vast and diverse enterprise data into actionable intelligence. By integrating advanced search and retrieval technologies with seamless data source connectivity, it empowers organizations to build intelligent applications that enhance decision-making, improve customer interactions, and streamline operations. Its compliance with industry standards ensures data security and privacy, making it a reliable choice for enterprises aiming to leverage AI without compromising on regulatory requirements.

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Ali Khusroo B.
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Ali Khusroo B.
AI/ML Engineer | Data Analyst | Python Full Stack Developer
07/20/2026
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Review source: Organic Review from User Profile

Powerful RAG Solution for Building Accurate AI Applications

I like the RAG Engine, it lets me build AI applications that answer using my own data instead of just model knowledge, also it's practical improved response reduced the hallucinations

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What is RAG Engine?

RAG Engine is an AI infrastructure platform designed to transform enterprise data into intelligent, searchable applications. It offers a comprehensive suite of tools for production-grade retrieval-augmented generation (RAG), integrating hybrid search capabilities, neural reranking, and knowledge graph entity extraction into a single managed solution. With support for over 50 data sources, including Google Drive, Notion, Slack, Confluence, Salesforce, and various databases, RAG Engine enables seamless deployment of AI chatbots across platforms like websites, Slack, and Microsoft Teams. Trusted by enterprises, it ensures compliance with SOC 2 and GDPR standards and supports over 100 languages.

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Year Founded
2025