AI for Business

The starting point for choosing depends on what you already have. If the company is working with PostgreSQL, it is wise to check pgvector first. If you need a separate vector search service, consider Qdrant.…

A large context is convenient when you need to work with a limited set of documents: one contract, several reports, a package of files for a one-time check. RAG helps manage the search of a library that is…

A RAG system can make mistakes at several stages: when a document enters the index, when the search selects fragments, when these fragments form a context for the model, and when the model formulates an…

Azure or AWS Bedrock may better fit a company's existing access, network, and infrastructure requirements. But using either platform does not automatically make a system safer than using the model provider's…

Prompt injection cannot be reliably eliminated with a single prohibition in a system message. It is an attack in which third-party text changes a model’s behavior. That text may come not from the user, but…

Do not assume the language-model provider will automatically pay for a bot’s mistake with a customer. Responsibility depends on three things: the law that applies, the agreements between the parties, and what…

There is no single filter that catches every password or code fragment. Effective protection has three parts: an approved company AI tool, clear employee rules, and technical controls for specific channels.…

There is no universally best local model. For an environment without internet access, choose specific weights, a specific version, and a specific license—not “Llama or Qwen” in the abstract. Then verify two…

Buying an enterprise plan does not remove legal risk when handling customers’ personal data. The plan defines what the provider promises. Your company must establish that its own process is lawful: whether…