AI Student Advisor - AI Component
The AI component of the AI Student Advisor is responsible for providing the chat engine with the ability to answer questions based on the data and remember conversation history.
Primary Stages
- Data Loading: Ingest data, generate embeddings using LLM model, and store in a hosted vector database
- Context Retrieval: Retieve relevant context from vector database based on user query
- Response Generation: Generate response based on user query, retrieved context and previous conversation history
source: [LangChain - Retrieval](https://python.langchain.com/docs/modules/data_connection/)
Components Required for Chat Agent
- Retrieve & Load Data: Use data loaders to create a retrieval tool for the chat engine
- Embedding Generation: Generate embeddings for the source data using the configured embedding model
- Chat Agent Instantiation: Create a chat agent that can answer questions based on the data & remember conversation history
User Query Handling Workflow
API
User Query Handling
