Open Source Tools for Enterprise Intelligence
Enterprise search, data exchange and content management for developers. Open source, self-hosted.
Turing
Enterprise search, cited RAG and AI agents over your content. Self-hosted, with your choice of search engine and LLM.
Dumont
Data exchange platform: connects your sources and delivers their content to Viglet Turing or any other search engine.
Shio
Headless CMS: models content, delivers it over a versioned REST and GraphQL API, and indexes it in Viglet Turing for search.
Ask a question, get an answer
Viglet Turing answers from your indexed content and shows the sources it used.
This preview is scripted. Try it live on turing.viglet.org
What changes for you
What your team and your users get from the suite.
Get cited answers from your content
Semantic navigation and a RAG chatbot answer questions from your own content and cite the sources.
Extract from any source, without glue code
Connectors for Adobe AEM, WordPress, SQL databases, file systems and the web push content into your search engine. There is no custom ETL to build and maintain.
Model content, ship a site
Define your own post types, query them over GraphQL, and serve a JavaScript site with native cache and built-in search.
Own your stack: Apache 2.0, self-hosted
Every product is open source under Apache 2.0 and runs from a single Docker image on your own infrastructure, so your content stays inside your perimeter.
The Viglet Suite
Three complementary tools that work independently or together.
Intelligence
Turing
Enterprise search, cited RAG and AI agents over your content. Self-hosted, with your choice of search engine and LLM.
Flow
Dumont
Data exchange platform: connects your sources and delivers their content to Viglet Turing or any other search engine.
Content
Shio
Headless CMS: models content, delivers it over a versioned REST and GraphQL API, and indexes it in Viglet Turing for search.
Which Viglet product do you need?
Answer three questions and get the product, or the combination, that fits. Or compare all three side by side.
Self-host it, or let Viglet host itBeta
Every product runs from one Docker image on your own servers. Or let Viglet run them for you on Viglet Cloud, which is in beta, so features may change.
How the three connect
Each one works alone. Together: extract with Viglet Dumont, search and answer with Viglet Turing, model and serve with Viglet Shio.
Connect any source
Viglet Dumont crawls and connects Adobe AEM, WordPress, SQL databases, file systems and the web, and normalizes everything into one flow from source to destination.
Index, search, answer
Viglet Turing indexes that flow into Apache Solr, Elasticsearch or Lucene, adds faceted semantic navigation, and answers questions with a RAG chatbot grounded in your content.
Model & deliver content
Viglet Shio models the content, exposes it over GraphQL, and serves a cached, search-ready site. It is the editorial layer of the platform.
Works with your stack
Use the content sources, search engine and LLM you already have.
Sources
Search engines
AI & LLMs
Delivery
Common questions
Short, direct answers.
Do I need all three products?
No. Each product runs on its own: Viglet Turing for search and AI, Viglet Dumont to feed it content, and Viglet Shio to model and serve content. They also work together, but there is no lock-in and no required bundle.
Which Viglet product do I need?
Match the product to the job: Viglet Dumont extracts and moves data (indexing, ETL, connectors); Viglet Shio models and serves content (headless CMS, sites); Viglet Turing searches and answers (enterprise search, semantic navigation, AI chatbot).
Is Viglet a free, open-source alternative to Algolia, Coveo or Lucidworks?
Yes. Viglet Turing is open-source enterprise search under the Apache 2.0 license. You self-host it on your own infrastructure with no per-document or per-query pricing, and it includes faceted search, semantic/vector search and generative AI (RAG).
How do I run it?
One Docker command per product, pulling the image from the GitHub Container Registry (ghcr.io). The runtime is bundled in the container, so there is no Java install and no manual setup. To have Viglet host it for you instead, Viglet Cloud is in beta at viglet.cloud.
Which sources can I index (Adobe AEM, WordPress, databases)?
Viglet Dumont connects Adobe AEM, WordPress, SQL databases, file systems and any website through its web crawler, and delivers the content into Apache Solr, Elasticsearch or Viglet Turing.
Does it support semantic search and RAG with the LLM of my choice?
Yes. Viglet Turing includes vector/semantic search and Retrieval-Augmented Generation with the LLM of your choice (OpenAI/ChatGPT, Ollama, Anthropic or Google Gemini), on SaaS or on-premises. Answers are grounded in your indexed content, with citations.
Where is my content stored?
On your own infrastructure. Every product is self-hosted with Docker, so indexed content and user queries never leave your perimeter. This matters for regulated industries with data-residency requirements, where SaaS search keeps content in the vendor's cloud.
Start with one product. Or the whole platform.
Open source under Apache 2.0, self-hosted with a single Docker command. No account, no per-query pricing.
$ docker run -p 2700:2700 ghcr.io/openviglet/turing-ce # Turing
$ docker run -p 30130:30130 ghcr.io/openviglet/dumont-ce # Dumont
$ docker run -p 2710:2710 ghcr.io/openviglet/shio-ce # ShioJoin the conversation
GitHub
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