Create a fully working semantic search stack with only Qdrant as vector database with built-in API and transformers.js using any huggingface model as your frontend-only embedding generator. No additional inference server needed!

Image courtesy Qdrant & Hugging Face.

Using qdrant for querying text data with vector search and geospatial filters without GPU (CPU only)

Image courtesy Qdrant transformed with Stable Diffusion v2 by stability-ai.

[Work in progress]

Useful PyScript file handling examples for all combinations: local/remote files and import/export.

Use Pandas to execute SQL statements in a remote database such as PostgreSQL via SSH

A simple PyScript-fueled Jupyter Notebook running entirely in your browser - no server needed!

Execute Python right in your Browser!

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<!--Load PyScript, Pyodide, Micropip and Python packages-->
<script defer src="https://pyscript.net/alpha/pyscript.js"></script>
<py-env>
  - pandas
</py-env>

<!-- Write your Python code! -->
<py-script>
import pandas as pd 
from pyodide.http import open_url

df = pd.read_csv(open_url("/downloads/iris.csv"))
df
</py-script>

Floral foam 🌼, elephants 🐘 and evil mayors 😈: the useful HyperLogLog algorithm explained as if you were 10 years old!