chat

Why we included this project

Chat is a Python semantic-understanding library that pairs natural language processing with a Neo4j-backed knowledge graph. You load domain data from spreadsheets, and it answers questions against that data, which makes it a solid starting point for teams that want a working chatbot without assembling a pile of separate NLP components. It supports multiple concurrent users and custom multi-turn dialogue, so it holds up in real customer-facing settings rather than just demos. The modules are small and easy to modify, which also makes it a decent way to see how knowledge-graph question answering and sentence-similarity matching work under the hood. You will need to run Neo4j yourself, but if that is acceptable, this is a lightweight base for a domain-specific assistant.