WikiChat

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WikiChat is an AI Agents & Automation tool that improves RAG by grounding LLMs on a corpus. It stops hallucination by retrieving factual data from sources like Wikipedia, supporting 25 languages.

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At a glance

Pricing

Open Source · Free

Free tier

Yes

API

Yes

Skill level

Technical

About

What is WikiChat?

WikiChat is an advanced Retrieval-Augmented Generation (RAG) system designed to combat hallucination in large language models (LLMs). It achieves this by grounding LLM responses on factual data retrieved from a corpus, primarily Wikipedia. The tool employs a 7-stage pipeline, detailed in its research paper, to ensure accuracy. Key features include multilingual support for 25 Wikipedias, improved information retrieval from structured and unstructured data, and compatibility with over 100 LLMs via LiteLLM. WikiChat also offers a free, rate-limited multilingual Wikipedia search API and options for local index hosting or custom document indexing, making it a versatile solution for factual information retrieval.

Best used for

Ideal for developers and data scientists who need to build more factual and reliable AI applications, enhance question-answering systems, and integrate robust information retrieval. Especially valuable for those working with large language models and requiring verifiable, grounded responses from diverse data sources.

Common actions

ground LLM responses

improve RAG accuracy

retrieve factual data

build factual chatbots

reduce LLM hallucination

face swappinggithub copilotdeepfakecollaborationlow-code/no-codeworkflows"AI Agents"automated workflowopen-source

Capabilities

Key features

Stop LLM hallucination
7-stage RAG pipeline
Multilingual Wikipedia support
Custom document indexing
100+ LLM compatibility
Structured data retrieval

Target Audience

developerdata scientistproduct manager

Integrations

Not yet documented

Pricing & Plans

Open Source · Free

Free

FAQs

What is the primary goal of WikiChat?

WikiChat's main goal is to prevent large language models from hallucinating by grounding their responses in factual information. It achieves this by retrieving relevant data from a corpus, such as Wikipedia, through a sophisticated 7-stage pipeline, ensuring higher accuracy and reliability in LLM outputs.

What kind of data sources can WikiChat retrieve information from?

WikiChat can retrieve information from various sources. By default, it uses 25 different Wikipedias. Users can also build their own indexes from custom documents, including structured data like tables, infoboxes, and lists, in addition to plain text, for comprehensive information retrieval.

Does WikiChat support multiple languages?

Yes, WikiChat offers extensive multilingual support. It can retrieve information from 25 different Wikipedias, including English, French, German, Spanish, Japanese, Chinese, and many others. This broad language coverage makes it suitable for global applications requiring diverse linguistic data.

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Subcategories trending in AI Agents & Automation

AI Frameworks & Infra Chatbots & Conversational AI General-Purpose Agents Workflow Agents Personal Assistants Voice Agents

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Also listed in

This tool also appears in

Research & Education › AI Search Engines Research & Education › Knowledge Management

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