llama-index-readers-psychic


Namellama-index-readers-psychic JSON
Version 0.3.0 PyPI version JSON
download
home_pageNone
Summaryllama-index readers psychic integration
upload_time2024-11-18 00:19:36
maintainerNone
docs_urlNone
authorYour Name
requires_python<4.0,>=3.9
licenseMIT
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # LlamaIndex Readers Integration: Psychic

## Overview

The Psychic Reader facilitates the extraction of data from the Psychic platform, enabling seamless access to synced data from various SaaS applications through a single universal API.
Psychic is a platform designed to synchronize data from multiple SaaS applications via a universal API. This reader module connects to a Psychic instance and retrieves data, requiring authentication via a secret key.

For more detailed information about Psychic, visit [docs.psychic.dev](https://docs.psychic.dev).

### Installation

You can install Psychic Reader via pip:

```bash
pip install llama-index-readers-psychic
```

### Usage

```python
from llama_index.readers.psychic import PsychicReader

# Initialize PsychicReader
reader = PsychicReader(psychic_key="<Psychic Secret Key>")

# Load data from Psychic
documents = reader.load_data(
    connector_id="<Connector ID>", account_id="<Account ID>"
)
```

This loader is designed to be used as a way to load data into
[LlamaIndex](https://github.com/run-llama/llama_index/tree/main/llama_index) and/or subsequently
used as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "llama-index-readers-psychic",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.9",
    "maintainer_email": null,
    "keywords": null,
    "author": "Your Name",
    "author_email": "you@example.com",
    "download_url": "https://files.pythonhosted.org/packages/b2/11/ab134b3055689472fd0586576ca79294120ff026987a9a82a146a8571602/llama_index_readers_psychic-0.3.0.tar.gz",
    "platform": null,
    "description": "# LlamaIndex Readers Integration: Psychic\n\n## Overview\n\nThe Psychic Reader facilitates the extraction of data from the Psychic platform, enabling seamless access to synced data from various SaaS applications through a single universal API.\nPsychic is a platform designed to synchronize data from multiple SaaS applications via a universal API. This reader module connects to a Psychic instance and retrieves data, requiring authentication via a secret key.\n\nFor more detailed information about Psychic, visit [docs.psychic.dev](https://docs.psychic.dev).\n\n### Installation\n\nYou can install Psychic Reader via pip:\n\n```bash\npip install llama-index-readers-psychic\n```\n\n### Usage\n\n```python\nfrom llama_index.readers.psychic import PsychicReader\n\n# Initialize PsychicReader\nreader = PsychicReader(psychic_key=\"<Psychic Secret Key>\")\n\n# Load data from Psychic\ndocuments = reader.load_data(\n    connector_id=\"<Connector ID>\", account_id=\"<Account ID>\"\n)\n```\n\nThis loader is designed to be used as a way to load data into\n[LlamaIndex](https://github.com/run-llama/llama_index/tree/main/llama_index) and/or subsequently\nused as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent.\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "llama-index readers psychic integration",
    "version": "0.3.0",
    "project_urls": null,
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "9ffda72c927ee34bb329bb5808e12791e8998e025e5a56b4e88bd97b261b7bb9",
                "md5": "d063cd392a8c7e64dc94ec7f93f76401",
                "sha256": "1cc694eb634cf8e5b9d653a7b483eff435cd35ecff2622439f09c2027568b9b3"
            },
            "downloads": -1,
            "filename": "llama_index_readers_psychic-0.3.0-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "d063cd392a8c7e64dc94ec7f93f76401",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.9",
            "size": 3149,
            "upload_time": "2024-11-18T00:19:35",
            "upload_time_iso_8601": "2024-11-18T00:19:35.961078Z",
            "url": "https://files.pythonhosted.org/packages/9f/fd/a72c927ee34bb329bb5808e12791e8998e025e5a56b4e88bd97b261b7bb9/llama_index_readers_psychic-0.3.0-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "b211ab134b3055689472fd0586576ca79294120ff026987a9a82a146a8571602",
                "md5": "54c03b6bdba744403bdacc86a80b4636",
                "sha256": "94b018685c85436dde65328264d4403cf06f660bce175aed65fcc277f4ea4ad1"
            },
            "downloads": -1,
            "filename": "llama_index_readers_psychic-0.3.0.tar.gz",
            "has_sig": false,
            "md5_digest": "54c03b6bdba744403bdacc86a80b4636",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.9",
            "size": 2836,
            "upload_time": "2024-11-18T00:19:36",
            "upload_time_iso_8601": "2024-11-18T00:19:36.762005Z",
            "url": "https://files.pythonhosted.org/packages/b2/11/ab134b3055689472fd0586576ca79294120ff026987a9a82a146a8571602/llama_index_readers_psychic-0.3.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-11-18 00:19:36",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "llama-index-readers-psychic"
}
        
Elapsed time: 0.35883s