Searchable Document Collection - Query

This ask allows to query a searchable document collection with ChatComplete.

Description

This feature enables you to search a document collection using ChatComplete. You can effortlessly incorporate a document collection by employing the Searchable Document Collection - Add Document task. Once your documents are in the collection, you can ask questions, and ChatComplete will provide answers.

Applications

Knowledge Base ChatBots
Semantic Information Retrieval from Document Collections

How to use the task

Specify the name of the document collection you've already populated using the Searchable Document Collection - Add Document task.
The Quality slider can be adjusted. A higher quality may impact price and performance of the task.
Formulate your query

Privacy

We strongly advise against including sensitive or confidential information in your queries.

[1.0.0]:

First version

Version	AI Model	Created	Link
1.0.0		19.10.2023

API

The REST API allows you to call the tool with the same costs as when running the tool. Please generate an Personal access token before using the REST API.

Parameters

query (Query): The query.
quality (Quality): The quality of the response. Affects the price.
document_collection (Document Collection): The name of the document.

Call the REST API by cURL

curl -v -H "Authorization: Bearer PERSONAL_ACCESS_TOKEN" https://api.anysolve.ai/rest/v1/intern-memory-search-collection-query/1.0.0?query=Is%20Woodhouse%20married%3F&quality=2&document_collection=gutenberg

Install the package with pip
python3 -m pip install anysolve

Run in python3

import os
from anysolve import AnySolve

anysolve_token = os.environ.get('ANYSOLVE_PERSONAL_ACCESS_TOKEN') # Resolve your personal access token here
client = AnySolve(anysolve_token)
res = client.run('intern-memory-search-collection-query','1.0.0', {'query': 'Is Woodhouse married?', 'quality': '2', 'document_collection': 'gutenberg'})

print(res)

Coming soon: Within AnySolve ChatComplete prompts you can use the following command to execute the task:
/run('intern-memory-search-collection-query','1.0.0', query='Is Woodhouse married?', quality='2', document_collection='gutenberg')

Task infos

Author: anysolve-sh

Status: Published

Version: 1.0.0

Runs: 87 times

Favorites: 2

Average costs: 62 Credits (0.062 EUR)

Created: 19.10.2023

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Input