How to Build a Local Agentic Search Pipeline That Actually Gets Facts Right

If you've spent any time building with local LLMs, you've probably hit the same wall I have: your model confidently tells you something that is completely, verifiably wrong. Ask it about a recent API change, a specific library version, or any fact that requires up-to-date knowledge, and you're rolling dice. The core problem isn't that these models are dumb. It's that they're frozen in time . And for anything requiring factual accuracy — think developer tools, research assistants, or internal kno