Vector Stores

Vector stores are responsible for storing and retrieving document embeddings. Helios Engine supports two vector stores out of the box: an in-memory store and a Qdrant store.

In-Memory Vector Store

A fast, lightweight vector store that keeps all data in memory.

#![allow(unused)]
fn main() {
use helios_engine::InMemoryVectorStore;

let vector_store = InMemoryVectorStore::new();
}

Advantages:

• ✓ No external dependencies
• ✓ Fast performance
• ✓ Simple setup
• ✓ Perfect for development and testing

Disadvantages:

• ✗ No persistence (data lost on restart)
• ✗ Limited by available memory
• ✗ Not suitable for large datasets

Use Cases:

• Development and testing
• Demos and examples
• Short-lived sessions
• Prototyping

Qdrant Vector Store

A production-ready vector store using the Qdrant vector database.

#![allow(unused)]
fn main() {
use helios_engine::QdrantVectorStore;

let vector_store = QdrantVectorStore::new(
    "http://localhost:6333",
    "my_collection"
);
}

Advantages:

• ✓ Persistent storage
• ✓ Highly scalable
• ✓ Production-ready
• ✓ Advanced features (filtering, etc.)

Disadvantages:

• ✗ Requires Qdrant service
• ✗ More complex setup

Use Cases:

• Production applications
• Large datasets
• Multi-user systems
• When persistence is required

Setting up Qdrant

You can run Qdrant using Docker:

docker run -p 6333:6333 qdrant/qdrant