Rust, Qdrant, Shuttle: A Rust-based semantic document search

This example shows how to create a semantic document search with chat capability in Rust, using Shuttle and Qdrant - a vector search engine.

Prerequisites

1. Install Shuttle CLI tools:

cargo install cargo-shuttle

2. Get a Qdrant Account at qdrant.tech

3. Get an OpenAI API key at openai.com

4. Create a Secrets.toml file (or Secrets.dev.toml for local development) with the following contents:

OPENAI_API_KEY = "<ENTER YOUR KEY HERE>"
QDRANT_TOKEN = "<ENTER YOUR KEY HERE>"
QDRANT_URL = "<ENTER YOUR KEY HERE>"

Running the example

cargo shuttle run

More Info

Check out our live stream at https://www.youtube.com/watch?v=YLWSeiDh2o0

Troubleshooting

• Make sure you Qdrant URL ends with port :6334