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Building a RAG pipeline is the easy part. Knowing whether it works reliably in production is not. Retrieval can return irrelevant chunks, the model can ignore the context it received, and quality can regress silently across prompt or embedding changes. Without tracing and evaluation, these failures are invisible until a user reports a bad answer. Langfuse is an open-source LLM engineering platform that provides the observability layer for RAG systems. Combined with RAGAS

PostgreSQL and MySQL are the two most widely deployed open-source relational databases. Both are mature and backed by large communities. Both handle the majority of application workloads well. The main differences come in areas like complex queries, concurrency under load, data type support, extensibility, and control over indexing and access policies. Let's break down how these differences affect architecture, performance under various workloads, and how to choose the best d

AI agentic engineering is the practice of building software with AI coding agents under deliberate human direction, with structured processes governing how those agents are used. It is not a tooling upgrade. It is a shift in how engineering decisions get made, how work is structured, and where developer judgment gets applied. The difference from earlier AI-assisted coding is the discipline layer. Autocomplete and inline suggestions made individual developers faster. AI agent

Software is moving beyond simple input-and-response workflows. AI agents can handle multi-step tasks, use tools, and move work forward with much less manual involvement. That is why businesses are paying close attention to AI agent development services as a practical way to improve speed, scale, and operational efficiency. What Are AI Agent Development Services? AI agent development services focus on designing, building, and deploying AI software agents capable of completing