Quickstart: Build a Memory-Enabled AI Assistant with RAG in a WeekendA minimal architecture that scales: ingestion, retrieval, conversation state, and observability.
Follow a practical quickstart to create a memory-enabled AI assistant using RAG, including ingestion, indexing, conversation state, caching, and basic monitoring.
RAG 101 for AI Engineers: From Naive Retrieval to Production-Grade PipelinesChunking, embeddings, reranking, citations, evaluation, and failure modes explained simply.
A step-by-step guide to building a reliable RAG system, covering chunking, embeddings, retrieval, reranking, context windows, and evaluation tactics for better answers.