
Build and deploy production-grade RAG applications on your company's knowledge base using a robust, scalable API.
Unify corporate data, reduce rework, and accelerate responses with advanced semantic search and a developer-friendly infrastructure.
For software development, Nama is a powerful AI platform for teams that need to build and deploy production-grade Retrieval-Augmented Generation (RAG) applications without building the infrastructure from scratch. It provides a robust, scalable API with a 99.9% uptime guarantee and advanced features like hybrid search and reranking, enabling developers to quickly integrate intelligent search and chatbots into their products.
Building and maintaining custom RAG pipelines is complex and resource-intensive.
Months of dev timeDeploy production-grade RAG applications quickly via a scalable, managed API.
Integration in minutesNama offers a compelling solution for developers who want to bypass the complexities of building a RAG system from the ground up. The robust API, focus on scalability (99.9% uptime), and advanced features like hybrid search provide a solid foundation for production applications. The main trade-off is the platform's opaqueness; you're buying into their specific infrastructure, which might limit fine-grained control compared to a self-built solution.
Last reviewed: Reviewed June 2026 — The platform's developer API, RAG capabilities, and scalability claims were assessed.
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Nama is an AI platform for software development that enables you to build and integrate advanced RAG (Retrieval-Augmented Generation) applications. It provides a scalable infrastructure and API to connect internal data sources, create specialized AI agents, and deploy them to power custom chatbots, internal search, and other intelligent systems.
Nama offers a compelling solution for developers who want to bypass the complexities of building a RAG system from the ground up. The robust API, focus on scalability (99.9% uptime), and advanced features like hybrid search provide a solid foundation for production applications. The main trade-off is the platform's opaqueness; you're buying into their specific infrastructure, which might limit fine-grained control compared to a self-built solution.
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