vdf-io 0.0.10

This library uses a universal format for vector datasets to easily export and import data from all vector databases.

This library uses a universal format for vector datasets to easily export and import data from all vector databases.

See the Contributing section to add support for your favorite vector database.

Universal Vector Dataset Format (VDF) specification

1. VDF_META.json: It is a json file with the following schema:

interface Index {
  namespace: string;
  total_vector_count: number;
  exported_vector_count: number;
  dimensions: number;
  model_name: string;
  vector_columns: string[];
  data_path: string;
  metric: 'Euclid' | 'Cosine' | 'Dot';
}

interface VDFMeta {
  version: string;
  file_structure: string[];
  author: string;
  exported_from: 'pinecone' | 'qdrant'; // others when they are added
  indexes: {
    [key: string]: Index[];
  };
  exported_at: string;
}

2. Parquet files/folders for metadata and vectors.

Installation

git clone https://github.com/AI-Northstar-Tech/vector-io.git
cd vector-io
pip install -r requirements.txt

Export Script

./export_vdf.py --help

usage: export.py [-h] [-m MODEL_NAME] [--max_file_size MAX_FILE_SIZE]
                 [--push_to_hub | --no-push_to_hub]
                 {pinecone,qdrant} ...

Export data from a vector database to VDF

options:
  -h, --help            show this help message and exit
  -m MODEL_NAME, --model_name MODEL_NAME
                        Name of model used
  --max_file_size MAX_FILE_SIZE
                        Maximum file size in MB (default: 1024)
  --push_to_hub, --no-push_to_hub
                        Push to hub

Vector Databases:
  Choose the vectors database to export data from

  {pinecone,qdrant}
    pinecone            Export data from Pinecone
    qdrant              Export data from Qdrant

./export_vdf.py pinecone --help
usage: export.py pinecone [-h] [-e ENVIRONMENT] [-i INDEX]
                          [-s ID_RANGE_START]
                          [--id_range_end ID_RANGE_END]
                          [-f ID_LIST_FILE]
                          [--modify_to_search MODIFY_TO_SEARCH]

options:
  -h, --help            show this help message and exit
  -e ENVIRONMENT, --environment ENVIRONMENT
                        Environment of Pinecone instance
  -i INDEX, --index INDEX
                        Name of index to export
  -s ID_RANGE_START, --id_range_start ID_RANGE_START
                        Start of id range
  --id_range_end ID_RANGE_END
                        End of id range
  -f ID_LIST_FILE, --id_list_file ID_LIST_FILE
                        Path to id list file
  --modify_to_search MODIFY_TO_SEARCH
                        Allow modifying data to search

./export_vdf.py qdrant --help
usage: export.py qdrant [-h] [-u URL] [-c COLLECTIONS]

options:
  -h, --help            show this help message and exit
  -u URL, --url URL     Location of Qdrant instance
  -c COLLECTIONS, --collections COLLECTIONS
                        Names of collections to export

Import script

./import_vdf.py --help
usage: import_vdf.py [-h] [-d DIR] {pinecone,qdrant} ...

Import data from VDF to a vector database

options:
  -h, --help         show this help message and exit
  -d DIR, --dir DIR  Directory to import

Vector Databases:
  Choose the vectors database to export data from

  {pinecone,qdrant}
    pinecone         Import data to Pinecone
    qdrant           Import data to Qdrant

./import_vdf.py pinecone --help
usage: import_vdf.py pinecone [-h] [-e ENVIRONMENT]

options:
  -h, --help            show this help message and exit
  -e ENVIRONMENT, --environment ENVIRONMENT
                        Pinecone environment

./import_vdf.py qdrant --help
usage: import_vdf.py qdrant [-h] [-u URL]

options:
  -h, --help         show this help message and exit
  -u URL, --url URL  Qdrant url

Examples

./export_vdf.py -m hkunlp/instructor-xl --push_to_hub pinecone --environment gcp-starter

Follow the prompt to select the index and id range to export.

Contributing

Adding a new vector database

If you wish to add an import/export implementation for a new vector database, you must also implement the other side of the import/export for the same database. Please fork the repo and send a PR for both the import and export scripts.

Changing the VDF specification

If you wish to change the VDF specification, please open an issue to discuss the change before sending a PR.

Efficiency improvements

If you wish to improve the efficiency of the import/export scripts, please fork the repo and send a PR.

Questions

If you have any questions, please open an issue on the repo or message Dhruv Anand on LinkedIn