Text Embedding with Qdrant (v1) 🔍

This example embeds local markdown files, stores the chunks + embeddings in Qdrant, and provides a simple semantic-search query demo.

Prerequisites

Run Qdrant locally (HTTP 6333, gRPC 6334)

docker run -d -p 6334:6334 -p 6333:6333 qdrant/qdrant

Run

Install deps:

pip install -e .

Build/update the index (writes points into Qdrant). Pick one of the two modes:

Catch-up run — scan sources, sync changes, exit:
sh
```
cocoindex update main
```
Live run — catch up, then keep watching for file changes (the source declares live=True in main.py):
sh
```
cocoindex update -L main
```

Query:

python main.py "what is self-attention?"

You can also open the Qdrant dashboard at http://localhost:6333/dashboard.

Environment

Copy .env.example to .env and fill in the blanks — it is loaded automatically when you run the example:

cp .env.example .env

Stores vectors in Qdrant (defaults to a local container at http://localhost:6334/), so no required secrets — the file documents the optional QDRANT_URL override.