Viglet Turing
Open-source, self-hosted enterprise search platform combining production search engine, semantic RAG pipeline with citations, agent framework, and generative AI. Features hybrid BM25 and vector search, broad content connectors, full privacy, and on-premises deployment.
Features
Properties
- AI-Powered
Features
- Model Context Protocol (MCP) Support
- Semantic Search
- Indexed search
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alexandreoliveira added Viglet Turing as alternative to Algolia, Meilisearch, Elasticsearch and OpenSearch
Viglet Turing information
Developed by
openviglet Licensing
Open Source (Apache-2.0) and Free product.Written in
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26 alternatives listedSupported Languages
- English
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AI Tools & Services, Online ServicesGitHub repository
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What is Viglet Turing?
Viglet Turing ES is an open-source (Apache 2.0), self-hosted Enterprise Search Intelligence Platform that unifies three things teams usually stitch together themselves: a production search engine, a RAG pipeline with citations, and an AI agent framework. It indexes content from Adobe Experience Manager, WordPress, databases, file systems and web crawls, and serves faceted search, grounded AI answers and tool-using agents over that content — entirely on your own infrastructure.
It is a self-hosted alternative to hosted search SaaS such as Algolia, Coveo and Lucidworks, and a batteries-included alternative to assembling LangChain/LlamaIndex with a vector database by hand. Your documents, embeddings and query logs never leave your network, and there is no per-record or per-search billing.