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Surprising no one, researchers confirm that AI chatbots are incredibly sycophantic
We all have anecdotal evidence of chatbots blowing smoke up our butts, but now we have science to back it up. Researchers at Stanford, Harvard and other institutions just published a study in Nature a [...]
Ontology is the real guardrail: How to stop AI agents from misunderstanding your business
Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the inabi [...]
Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production
Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into [...]
D&B's database of 642 million businesses was built for humans, not AI agents. So they rebuilt it.
Dun & Bradstreet has spent over 180 years building a comprehensive commercial database. Its Commercial Graph, covering 642 million businesses and their relationships, corporate hierarchies and ris [...]
Enterprise AI agents are only as reliable as the messiest documents behind them
Enterprise AI has largely been built around context engineering. Teams connect enterprise systems, generate chunks and embeddings, build retrieval pipelines, and assemble the context needed by individ [...]
SurrealDB 3.0 wants to replace your five-database RAG stack with one
Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has al [...]
Inflection AI returns to consumer market with Pi Journeys after Microsoft upheaval
Inflection AI, the Palo Alto startup that two years ago became Silicon Valley's most famous cautionary tale about the brutal economics of frontier AI, announced Tuesday that it is returning to th [...]
Stop graphing everything: When GraphRAG actually beats vector RAG
If you have built anything with retrieval-augmented generation (RAG) in the last two years, you have lived its central frustration: You chop your documents into chunks, embed them, retrieve the top fe [...]