NOTICE - February 10, 2026

This repository was temporarily offline following the confirmation of unauthorized activity within a limited number of our public DataStax GitHub repositories, listed below. Working with our internal incident response team, we worked to contain, remediate and investigate the activity.

We followed established incident-response processes to review and to revert any unauthorized activity.

Required Actions: Collaborators who interacted with this repository between January 31, 2026, and February 9, 2026, rebase your branch onto the new main / master. Do not merge main / master into your branch!

At DataStax, we remain committed to your security and to transparency within the open-source community.

Impacted Repositories:

• github.com/KillrVideo/killrvideo-react-frontend
• github.com/KillrVideo/kv-be-python-fastapi-dataapi-table
• github.com/KillrVideo/kv-dataloader-csharp

kv-dataloader-csharp

A simple data loader for the KillrVideo videos table, written in C# (.NET 9.0). This loader uses version 3.22.0 of the CassandraCSharpDriver to write to Astra DB, and generates vector emebeddings using the ibm-granite/granite-embedding-30m-english model from HuggingFace.

Prerequisites

1. Dotnet 9+ runtime.
2. A DataStax Astra DB serverless database – get a free account.
3. The videos.csv file from the killrvideo/killrvideo-data repository.
4. A HuggingFace API key.

Setup & Configuration

# clone
git clone git@github.com:KillrVideo/kv-dataloader-csharp.git
cd kv-dataloader-csharp

# build and install dependencies
dotnet build

Database schema:

1. Assumes that Astra DB has a keyspace named killrvideo. (create it if it does not exist)
2. Create the videos table from the CQL file in the killrvideo/killrvideo-data: https://github.com/KillrVideo/killrvideo-data/blob/master/schema-astra.cql For reference, the table and its required index on the vector column can be seen here:

CREATE TABLE killrvideo.videos (
    videoid uuid PRIMARY KEY,
    added_date timestamp,
    category text,
    content_features vector<float, 384>,
    content_rating text,
    description text,
    language text,
    location text,
    location_type int,
    name text,
    preview_image_location text,
    tags set<text>,
    userid uuid,
    views int,
    youtube_id text);
CREATE CUSTOM INDEX videos_content_features_idx ON killrvideo.videos (content_features) USING 'StorageAttachedIndex' WITH OPTIONS = {'similarity_function': 'COSINE'};

Environment variables (via export):

Variable	Description
ASTRA_DB_SECURE_BUNDLE_LOCATION	Downloaded from the Astra UI once you have created your database
ASTRA_DB_APPLICATION_TOKEN	Token created in Astra UI
ASTRA_DB_KEYSPACE	killrvideo
HF_API_KEY	Token created from an account with HuggingFace

Execution

dotnet build
dotnet run

Or simply...

dotnet run