locus-db


Namelocus-db JSON
Version 0.1.0 PyPI version JSON
download
home_pagehttps://github.com/the-alex-b/Locus
SummaryLocal, in-memory vector database
upload_time2023-04-19 18:40:41
maintainer
docs_urlNone
authorAlex
requires_python>=3.9,<4.0
licenseApache-2.0
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Locus
Locus is a local, simple, in-memory vector database.

Why Locus?
* Easy to use
* 2 dependencies
* Store database locally


## Installation
Soon

## Example Code
Some example code to illustrate Locus' functionality.

``` python
import numpy as np
from locus import Config, Vector, Index

# create a new configuration
config = Config(max_elements=1000, ef_construction=200, M=16, dim=128, space="cosine", storage_location="index.db")

# create a new index instance
index = Index(dimensions=config.dim, config=config)

# create some random vectors
vectors = []
for i in range(10):
    embedding = np.random.randn(config.dim)
    data = {"id": i, "message": f"test message {i}"}
    vector = Vector(embedding=embedding, data=data)
    vectors.append(vector)

# add the vectors to the index
for vector in vectors:
    index.add_vector(vector)

# retrieve the closest vectors to a query embedding
query_embedding = np.random.randn(config.dim)
results = index.retrieve(query_embedding, number_of_results=3)
print(results)

# store the index on disk
index._store_on_disk()

# load the index from disk
new_index = Index.from_file(config.storage_location)
```


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/the-alex-b/Locus",
    "name": "locus-db",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.9,<4.0",
    "maintainer_email": "",
    "keywords": "",
    "author": "Alex",
    "author_email": "46456279+the-alex-b@users.noreply.github.com",
    "download_url": "https://files.pythonhosted.org/packages/83/be/8c10c3e423ada426f3ac5c976821243824de70da3a6e0d89687c989f53df/locus_db-0.1.0.tar.gz",
    "platform": null,
    "description": "# Locus\nLocus is a local, simple, in-memory vector database.\n\nWhy Locus?\n* Easy to use\n* 2 dependencies\n* Store database locally\n\n\n## Installation\nSoon\n\n## Example Code\nSome example code to illustrate Locus' functionality.\n\n``` python\nimport numpy as np\nfrom locus import Config, Vector, Index\n\n# create a new configuration\nconfig = Config(max_elements=1000, ef_construction=200, M=16, dim=128, space=\"cosine\", storage_location=\"index.db\")\n\n# create a new index instance\nindex = Index(dimensions=config.dim, config=config)\n\n# create some random vectors\nvectors = []\nfor i in range(10):\n    embedding = np.random.randn(config.dim)\n    data = {\"id\": i, \"message\": f\"test message {i}\"}\n    vector = Vector(embedding=embedding, data=data)\n    vectors.append(vector)\n\n# add the vectors to the index\nfor vector in vectors:\n    index.add_vector(vector)\n\n# retrieve the closest vectors to a query embedding\nquery_embedding = np.random.randn(config.dim)\nresults = index.retrieve(query_embedding, number_of_results=3)\nprint(results)\n\n# store the index on disk\nindex._store_on_disk()\n\n# load the index from disk\nnew_index = Index.from_file(config.storage_location)\n```\n\n",
    "bugtrack_url": null,
    "license": "Apache-2.0",
    "summary": "Local, in-memory vector database",
    "version": "0.1.0",
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "adf23d4ba44683d626b1bd5ed34a97613873df49849dd07c4aac8c81d362e162",
                "md5": "0cafcc4c2516e279325273048f905243",
                "sha256": "6217901c602b9a5f548ee30326ed367fb7c60a207a14fa2c6f5d75f3fe5bf04f"
            },
            "downloads": -1,
            "filename": "locus_db-0.1.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "0cafcc4c2516e279325273048f905243",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.9,<4.0",
            "size": 8203,
            "upload_time": "2023-04-19T18:40:39",
            "upload_time_iso_8601": "2023-04-19T18:40:39.020729Z",
            "url": "https://files.pythonhosted.org/packages/ad/f2/3d4ba44683d626b1bd5ed34a97613873df49849dd07c4aac8c81d362e162/locus_db-0.1.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "83be8c10c3e423ada426f3ac5c976821243824de70da3a6e0d89687c989f53df",
                "md5": "2414493a952d8edd056a2b3788c8e7c8",
                "sha256": "455c91fe9778a004254ff8b1aa054e9c6d49530bdf4433862f73b0d803bfe000"
            },
            "downloads": -1,
            "filename": "locus_db-0.1.0.tar.gz",
            "has_sig": false,
            "md5_digest": "2414493a952d8edd056a2b3788c8e7c8",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.9,<4.0",
            "size": 7081,
            "upload_time": "2023-04-19T18:40:41",
            "upload_time_iso_8601": "2023-04-19T18:40:41.874087Z",
            "url": "https://files.pythonhosted.org/packages/83/be/8c10c3e423ada426f3ac5c976821243824de70da3a6e0d89687c989f53df/locus_db-0.1.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2023-04-19 18:40:41",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "github_user": "the-alex-b",
    "github_project": "Locus",
    "lcname": "locus-db"
}
        
Elapsed time: 0.07596s