> Autonomous AI Agents are failing in enterprise environments because standard Vector Databases (Pinecone, Milvus) act as static filing cabinets. They rely on discrete Euclidean metrics like Cosine Similarity, which blindly retrieve contradictory information (hallucinations)
Hallucinations are a result of the next token selection process, not simply caused by bad RAG. In effect, all LLM generated content is a hallucination, sometimes the hallucinations are useful.
Eliminating “bad” data from your RAG database is not going to fix hallucinations.
> Autonomous AI Agents are failing in enterprise environments because standard Vector Databases (Pinecone, Milvus) act as static filing cabinets. They rely on discrete Euclidean metrics like Cosine Similarity, which blindly retrieve contradictory information (hallucinations)
Hallucinations are a result of the next token selection process, not simply caused by bad RAG. In effect, all LLM generated content is a hallucination, sometimes the hallucinations are useful.
Eliminating “bad” data from your RAG database is not going to fix hallucinations.