How to Build a LangChain RAG Agent with Reporting

This tutorial demonstrates how to build an AI Agent using LangChain, Milvus, and OpenAI. The agent performs Retrieval Augmented Generation (RAG) tasks by retrieving information from a vector database like Milvus. Additionally, the monitoring tool Portkey is used to track token usage, token count, and request latency. The tech stack includes LangChain for orchestration, Milvus as a vector database, Portkey for monitoring, and OpenAI for the Language Learning Model (LLM).

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.