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AI & Enterprise

Why Google OKF is drawing attention beyond vector databases and RAG

Signs of change are emerging in retrieval-augmented generation (RAG), long treated as a standard for building enterprise AI. Google Cloud has released Open Knowledge Format (OKF), proposing that core enterprise knowledge be managed as a structured knowledge network rather than stored in a vector database for retrieval. Secret Dev wrote that OKF organizes knowledge like a living wiki, using linked documents to navigate required information. It said OKF does not fully replace RAG and the two may be combined.

AI & Enterprise

Dinotisia releases open-source knowledge platform for AI agents

Dinotisia said on Tuesday it released its AI agent knowledge platform, AKB (Agent Knowledge Base), as open source on GitHub. The platform integrates and manages scattered internal corporate documents, files, databases and work records into a knowledge base that AI agents can use, enabling departments and AI agents to share the same work context. AKB applies an ontology-based structure and supports MCP-based integration and standard markdown management.

AI & Enterprise

Pinecone that helped popularise RAG now bets on an alternative

Pinecone, one of the companies that helped pioneer the vector database market supporting retrieval-augmented generation (RAG), is sending a different message around AI agents. The News Stack reported that Pinecone has provided 800,000 developers with chunking, embedding and retrieval methods for RAG over the past four years and unveiled its agent knowledge engine, Nexus, in early May. Pinecone argues RAG is unstable, slow and costly, but faces questions over industry adoption of its KnowQL.