ConvAI FAQs

Question 1

Can I integrate ConvAI with different Large Language Models (LLMs)?

Accepted Answer

Yes, ConvAI is flexible and supports various LLM providers. By default, it works with Ollama (e.g., qwen3:8b) for local LLMs, and it can also be configured to use OpenAI models (e.g., gpt-4) by setting the appropriate environment variables.

Question 2

What kind of movie questions can ConvAI answer?

Accepted Answer

ConvAI can answer a wide range of natural language queries, including questions about movie ratings, genres, specific titles, and even complex comparisons, leveraging the MovieLens 100k dataset.

Question 3

How does ConvAI process user queries about movies?

Accepted Answer

It utilizes a LangGraph-based multi-agent architecture with specialized agents for routing, intent classification, entity extraction, and tool calling to generate and execute SQL queries against the MovieLens dataset.

Question 4

Does ConvAI maintain conversational context?

Accepted Answer

Yes, ConvAI is designed to maintain conversational context across interactions, allowing for more personalized and context-aware responses to follow-up questions within a session.

Question 5

What is ConvAI?

Accepted Answer

ConvAI is a REST API providing a conversational AI virtual agent that intelligently answers user questions about movies using a sophisticated multi-agent LangGraph workflow.

ConvAI

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