Design and implement a natural language–based assistant that helps users understand, navigate, and effectively use the application by leveraging product documentation, structured knowledge, and usage flows. The assistant explains features, guides workflows, recommends next steps based on user intent and experience, and can (when requested) assist with or perform actions inside the system to bridge guidance and execution.

Technologies

• Tech stack: Python; NLM/LLM; Retrieval-Augmented Generation (RAG); Vector DBs (FAISS, Pinecone, etc.); Knowledge Graphs (NineGraph, LineGraph)
• Tools: LangChain, LangGraph

Details

• Number of interns: 1
• Remote: Yes
• Paid: Yes