Ragie
Ragie is a context engine that combines intelligent indexing, document parsing, and entity extraction. It handles multimodal content across text, PDFs, images, audio, and video to provide accurate retrieval.
10 ranked, with a plain verdict on every entry.
Ragie ranks first among the top 10 RAG platforms with a free trial in 2026, with a Lister Score of 92.0.
Ragie leads this ranking for AI teams building context-powered applications. stdapi.ai is built for AWS-native development teams. NeuralSeek serves regulated enterprises.Ragie is a context engine that combines intelligent indexing, document parsing, and entity extraction. It handles multimodal content across text, PDFs, images, audio, and video to provide accurate retrieval.
stdapi.ai is an AI gateway for Amazon Bedrock compatible with OpenAI, Anthropic, Cohere and Ollama. It allows teams to run the tool in their own AWS account without third-party intermediaries.
NeuralSeek is an enterprise AI platform designed for governed answers and agents. It allows organisations to build and run AI on their own data with built-in guardrails and audit trails.
SiliconFlow is an AI infrastructure platform providing high-speed inference for large language and multimodal models. It offers a unified API compatible with OpenAI standards to support diverse development needs.
Weaviate is an open-source vector database platform supporting search, RAG, and agents. It provides a unified foundation for building scalable AI experiences.
Qdrant is a high-performance vector search engine built in Rust. It helps developers build AI retrieval systems at any scale.
Supavec is an open-source RAG as a Service platform. It allows users to bring their own data to any LLM via an instant API.
Vectara is an enterprise AI platform that turns complex, multimodal data into actionable intelligence. It powers intelligent, managed agents to drive better business outcomes.
RAGFlow is an open-source RAG engine that empowers AI agents with reliable context. It delivers an integrated agent platform built specifically for enterprise use.
KDB.AI is a scalable vector database designed for contextual and time series search. It enables developers to build AI applications by mixing structured with unstructured data.
Positions 1, 2 and 3 are available to buy for twelve months.
Ragie ranks first on Lister. Ragie is a context engine that combines intelligent indexing, document parsing, and entity extraction. It handles multimodal content across text, PDFs, images, audio, and video to provide accurate retrieval.
1. Ragie; 2. stdapi.ai; 3. NeuralSeek; 4. SiliconFlow; 5. Weaviate; 6. Qdrant; 7. Supavec; 8. Vectara; 9. RAGFlow; 10. KDB.AI.
Weaviate, Qdrant list a free option in the recorded pricing. Check the provider's current terms and limits.
Ragie says it is built for AI teams building context-powered applications, and stdapi.ai for AWS-native development teams. NeuralSeek says it is built for regulated enterprises, and SiliconFlow for developers requiring flexible deployment options.
stdapi.ai states that Streaming responses can only retry before the stream opens, limiting resilience during active transfers. Those are the limits each AI tool publishes itself, not a full account of any plan.