-
Book Overview & Buying
-
Table Of Contents
Practical C# Projects with .NET
By :
AI orchestration and document RAG systems are powerful tools that can drastically expand the capabilities of AI agents. In this chapter, we discussed different aspects of RAG, AI orchestration, text embedding, semantic similarity, and vector databases as we looked at larger-scale AI solutions.
We saw how vector search and embeddings can be used to identify parts of documents that are similar to user queries, and how this can be used to provide additional context to large language models by adding these results into a prompt as a simple form of RAG.
We also explored how Agent Framework helps connect AI agents with additional capabilities through tools and sessions, and talked about how these capabilities are then provided to LLMs for tool calls. While we barely scratched the surface of Agent Framework's orchestration capabilities, Agent Framework can take a basic AI application and expand its capabilities significantly in a modular and extensible way.
Finally...