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#31 is a platform that allows users to implement generative AI in their products, offering private invitations, no ads, and no commitments


  • 🌟 LLM-Powered Hybrid Search: A comprehensive, all-in-one solution for semantic search, categorization, and reranking capabilities.
  • 📚 Customizable Models: Enhance applications to comprehend the significance of text data on a large scale, unlocking impressive features like semantic search, categorization, and reranking capabilities.
  • 📝 Text Generation: Generate relevant summaries of text and documents, as well as product descriptions, blog posts, and articles.
  • 💻 Low-Latency Response: Offers exceptional availability and horizontal scalability, capable of supporting the world’s most extensive apps and websites.
  • 🤝 API-Based Platform: Fosters teamwork amongst data engineers, machine learning teams, and application engineers.


  • 🌐 Semantic Search: LLM-Powered Hybrid Search enables users to find relevant information quickly and efficiently by understanding the context and significance of text data on a large scale.
  • 📝 Cross-language Service: The platform supports multiple languages, allowing users to search and retrieve information across different linguistic boundaries.
  • 🔄 Customizable Models: LLM-Powered Hybrid Search offers customizable models, which can be tailored to specific use cases and requirements.
  • 📚 Embedding Models: The platform uses advanced embedding models to enhance applications and unlock features such as semantic search, categorization, and reranking capabilities.
  • 🤖 API-based Platform: LLM-Powered Hybrid Search provides an API-based platform that fosters teamwork among data engineers, machine learning teams, and application engineers.

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As of the available information, there is no specific mention of a built-in feature to access chat history in LLMRails. It's advisable to consult the official documentation or reach out to the support team for detailed information on this functionality.
Guardrails, or "rails" for short, are tools provided by LLMRails to add programmable constraints to LLM-based conversational applications, ensuring safety and control.

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