Retrieval-augmented generation in practice: RAG architecture, hybrid search, Solr and Elasticsearch, evaluation, performance and security.
When a Solr cluster needs a specialist rather than another node: the six engagement types, how a measured consulting loop works, what Apache Solr consulting costs by firm type and geography, and how to judge success.
What production RAG demands beyond a prototype, the six roles a serious vendor fields, nine questions that expose a weak one, and how these engagements are priced.
AI chatbot citations turn plausible answers into checkable ones. Citation-grade retrieval, generation controls, groundedness metrics and trust-building UX.
A documentation chatbot only works if retrieval, citations and reindexing are right. The architecture, failure modes, metrics and a 30-day rollout plan.
Connectors, index, retrieval, generation — and an ACL path that runs alongside all of it. Internal Knowledge Base Chatbot: The Architecture That Survives Production Building an …
Introduction Retrieval-Augmented Generation (RAG) has become a core architecture for building modern AI applications. From chatbots to enterprise AI systems, RAG enables models to generate accurate …
