Retrieval Augmented Generation
Build chatbots, agents, and assistants that use generative AI
Reduce hallucinations and improve answer quality of generative AI applications with long term memory.
RAG with Marqo
Retrieval Augmented Generation (RAG) is a framework for combining LLMs with an external vector database to generate more accurate and up-to-date responses. Marqo lets you build RAG applications using vector search.
Reduce hallucination
Leverage domain-specific and up-to-date data at lower cost for any scale and get more accurate answers with RAG.
Improve performance
Use Marqtune to fine-tune embedding models on domain specific language and concepts, improving overall performance of the application.
Easy and reliable
Get started in a few clicks to apply RAG with enterprise-grade data security, support SLAs, and observability.
What you can build with Marqo
Customer service chatbots
Code generation copilot
Knowledge base Q&A
Copywriting assistant
Healthcare agents
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