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Ragie

The context engine for agents, assistants, and apps

Ranked #2 in Best RAG platforms.

Ragie is a context engine that combines indexing, parsing, and entity extraction to power AI applications. It ingests multimodal content across text, PDFs, images, audio, and video through a unified pipeline.

Official website

At a glance

Best forAI teams building context-powered applications

From Ragie's own website.

Company facts

Social profilesLinkedIn, X, GitHub

Facilities and features

Its website also mentions:

  • Published pricing
  • API
  • Integrations
  • SOC 2
  • GDPR

What stands out

Ragie builds vector, keyword, and summary indexes for accurate retrieval.

“Ragie builds three separate indexes, vector, keyword, and summary, and combines them to surface the most accurate context every time.”Ragie, own website

Ragie extracts structured elements from documents with precise bounding boxes.

“Ragie s Agentic OCR extracts structured elements from any document, including tables, forms,”Ragie, own website

How it ranks

Ragie is ranked 2nd of 10 in Best RAG platforms (Lister Score 92.0).

#2 in Best RAG platforms · Lister Score 92.0

Extracts structured elements from documents with precise bounding boxes.

How the score is made up: fit to this ranking's criteria 40; evidence on its own site 20; how complete its published information is 16; buying information on its own site 16.

“Ragie combines intelligent indexing and retrieval, document parsing, and entity extraction to power your AI with accurate, reliable context.”Ragie, own website
RankBest RAG platformsScore
1Pinecone94.0
2Ragie92.0
3Weaviate90.0
4LM-Kit88.0
5SiliconFlow88.0
6Supavec88.0
7RAGFlow86.0
8PrivateGPT82.0
9Babelscape80.0
10FloTorch76.0

Frequently asked questions

How does Ragie rank on Lister?

Ragie is ranked 2nd of 10 in Best RAG platforms (Lister Score 92.0).

Appears in