What AI says about Contextual AI

Track Contextual AI free

Data as of Oct 14, 2026Based on 22,659 AI responsesReviewed by Dimitry Apollonsky

How we measure

contextual.ai

AI summary

Contextual AI is a platform that provides a unified context layer for building, deploying, and orchestrating specialized AI agents that reason over institutional knowledge and technical documentation.

Mentioned in

<1%

of 22,659 answers across Contextual AI’s markets · since Jul 5

The market map

RAG Platforms and Retrieval Tools

Mentioned in

1Voyage AIMentioned in 32%Avg. position 4.1
2LlamaIndexMentioned in 27%Avg. position 56.3
3Cohere RerankMentioned in 27%Avg. position 42.1
4Jina AIMentioned in 27%Avg. position 31.1
5PineconeMentioned in 27%Avg. position 33.0
6LangChainMentioned in 23%Avg. position 14.1
7CohereMentioned in 19%Avg. position 3.7
8QwenMentioned in 18%Avg. position 8.8
9QdrantMentioned in 18%Avg. position 8.3
11BAAI/bge-reranker-v2-m3Mentioned in 17%Avg. position 28.5
12BGE-RerankerMentioned in 16%Avg. position 7.6
13Google Cloud Gemini Enterprise Agent PlatformMentioned in 15%Avg. position 6.5
15RAGFlowMentioned in 14%Avg. position 4.0
17Amazon BedrockMentioned in 12%Avg. position 5.4
67Contextual AIMentioned in 2%Avg. position 6.4

Contextual AI in AI’s own words

Question: Our RAG (Retrieval-Augmented Generation) pipeline is retrieving irrelevant chunks of text. Who offers re-ranking services to improve retrieval accuracy?

ChatGPT SearchSep 4, 2026