--- title: TestMongoDBMovies emoji: 📊 colorFrom: gray colorTo: purple sdk: gradio sdk_version: 4.15.0 app_file: app.py pinned: false license: apache-2.0 --- This simple ChatBot is designed to communicate with MongoDB Atlas Vector Search movies data set. It uses OpenAI ada embeddings to query the database for semantic similarity search. ## How to setup 1. [Create an Atlas cluter](https://www.mongodb.com/docs/atlas/tutorial/deploy-free-tier-cluster/) (free clusters are available) 2. Load [sample data](https://www.mongodb.com/docs/atlas/sample-data/) 3. Deploy the relevant Vector Index on `sample_mflix.embedded_movies` - [Whitelist](https://www.mongodb.com/docs/atlas/security/ip-access-list/#std-label-access-list) access from everywhere (`0.0.0.0/0`) - Locate your [cluster connection](https://www.mongodb.com/docs/atlas/tutorial/connect-to-your-cluster/) URI 5. Obtain your Open AI api key 6. "Duplicate" this space and input - `MONGODB_ATLAS_CLUSTER_URI` - Your Atlas Cluster connection string - `OPENAI_API_KEY`- Open AI API key Build and query the chat!