MiniMax adopts Perplexity search infrastructure
Open-source model developer MiniMax has integrated Perplexity's Search API to power its AI agents with real-time web data. The partnership follows Perplexity's recent move to expose its internal indexing and ranking engine as infrastructure for external developers.
Perplexity is aggressively pivoting from consumer answer engine to the foundational RAG layer for the AI ecosystem. Securing a high-volume client like MiniMax proves their infrastructure can handle frontier-scale agent workloads.
- –Perplexity's Search API gives developers raw access to fine-grained web snippets and relevance scoring, bypassing the latency of traditional document processing
- –For MiniMax, outsourcing retrieval allows them to focus resources on their core reasoning models (like the recent M1 and M2.5) instead of maintaining web scrapers
- –The deal highlights a trend of unbundling RAG, where developers combine specialized search APIs with their preferred open-weight models
- –Challenges Google's long-standing monopoly on providing programmatic search data for enterprise applications
DISCOVERED
1h ago
2026-05-22
PUBLISHED
4h ago
2026-05-22
RELEVANCE
AUTHOR
AravSrinivas