RAG as a Service for developers - AI tools

Ragie is a fully managed RAG-as-a-Service platform that helps developers build AI applications with seamless data integration, automatic syncing, and advanced retrieval features.

• Freemium
• From 100$

RAGBuilder is a platform designed to eliminate the complexity of building and managing Retrieval-Augmented Generation (RAG) solutions, handling data ingestion, optimization, and deployment automatically.

• Contact for Pricing

PromptLeo offers a GDPR-compliant Retrieval Augmented Generation (RAG) platform as a service, enabling developers to integrate conversational AI trained on their own data into products or websites.

• Freemium

Agentset is an open-source Retrieval Augmented Generation (RAG) platform designed for developers, offering high accuracy, deep research capabilities, and agentic features to build advanced AI applications.

• Freemium
• From 49$

Nuclia is a RAG-as-a-Service platform that automatically indexes files and documents to fuel diverse use cases with LLMs and AI Agents, ensuring high-quality outputs through RAG quality metrics.

• Freemium
• From 600$

RAGBuilder is a platform designed to simplify the creation, optimization, and deployment of Retrieval-Augmented Generation (RAG) systems, significantly reducing development time and costs without requiring deep AI expertise.

• Contact for Pricing

Graphlit is a RAG-as-a-Service platform that accelerates the development of AI applications and agents. It offers automated ETL, multimodal support, and easy integration for developers.

• Usage Based
• From 49$

Ragwalla is an enterprise AI agent platform that enables businesses to build intelligent agents with RAG (Retrieval-Augmented Generation) capabilities, offering OpenAI API compatibility, enhanced security, and multi-model support for automating knowledge retrieval and customer support.

• Contact for Pricing

iQ Suite offers a developer-friendly RAG (Retrieval-Augmented Generation) API that enables quick integration of AI capabilities into applications with built-in security and scalability features.

• Usage Based

RAG Engine provides a streamlined way to connect external data sources like websites, files, and documents to Large Language Models (LLMs), managing the entire data pipeline from ingestion to retrieval. It offers a managed vector database and unified search capabilities with transparent, cost-based pricing.

• Paid
• From 5$

Vectorize is a RAG-as-a-Service platform designed to accelerate AI application development by simplifying the process of connecting unstructured data to Large Language Models (LLMs). It automatically extracts and optimizes data from various sources for efficient vector search.

• Freemium
• From 99$