Introduction Enterprise search has a persistent tension. Purely keyword-based search is precise but brittle — it misses synonyms, paraphrasing, and natural language questions. Purely semantic search is more flexible but can lose exact product names, IDs, error codes, and other specific terms that matter a great deal in practice. Neither approach alone consistently meets enterprise…
Model Context Protocol (MCP) A standardized protocol that enables AI models to securely connect with external tools, APIs, databases, and enterprise applications. Model Context Protocol (MCP) is an open standard that allows AI models to communicate with external systems through a secure and consistent interface. It removes the need for custom integrations by providing a…
Introduction Basic RAG — embed a query, search a vector database, pass the top matches to an LLM — is enough to meaningfully reduce hallucinations and ground responses in real data. But enterprise applications quickly run into its limits: complex queries, large and messy document collections, and accuracy requirements that a naive pipeline can’t consistently…