Large Language Models (LLMs) are powerful but prone to making mistakes or manufacturing wrong results.
Semantic search constrains LLMs to answer only based on your content. This “grounding” ensures the LLM respects your content as the source of truth — and users can verify the answer by reviewing linked source excerpts.
Once agents can answer questions, they can be integrated into workflows to assist or automate decision-making.