llama-index-tools-deepinquiry

LlamaIndex tool spec for DeepInquiry: a library of short factual claims, each returned with its sources, a verification tier (gold, silver, bronze), a source-difference score and a signed CiteSig attestation.

Install

pip install llama-index-tools-deepinquiry

Get a free API key (500 requests a month, no card) at https://www.deepinquiry.ai/signup and set it:

export DEEPINQUIRY_API_KEY="di_live_..."

Use

from llama_index.tools.deepinquiry import DeepInquiryToolSpec

spec = DeepInquiryToolSpec()          # reads DEEPINQUIRY_API_KEY
tools = spec.to_tool_list()           # search_facts, get_fact, random_fact, search_documents

print(spec.search_facts("how many hearts does an octopus have", limit=2))

Give tools to any LlamaIndex agent. search_facts, get_fact and random_fact return plain text with the sources and a link to cite. search_documents returns LlamaIndex Document objects, so facts can be indexed or used in a retrieval step.

Try the API first

There is a live, keyless demo on https://www.deepinquiry.ai/api that shows the exact response.

Terms

The code in this package is MIT licensed. Facts returned by the API have their own terms: the free tier requires attribution to DeepInquiry (the links in each result serve for that) and paid plans allow commercial use. See https://www.deepinquiry.ai/terms and https://www.deepinquiry.ai/data-license.

Published by Machine Accountability Corporation.