Haktr

Haktr is an open-source framework for knowledge management and retrieval designed to support human-in-the-loop curation across disparate data sources. It emphasizes accurate retrieval, provenance, and privacy, allowing organizations to index, search, and reason over documents, databases, and media.

Architecture: Haktr comprises a modular stack including data connectors, an index and embedding engine, a retrieval and ranking component, and a policy and provenance layer. It supports structured and unstructured data, multilingual content, and offline operation. The indexing uses both keyword and vector-based representations, enabling semantic search and intent-based queries. Extensible through plugins and APIs.

History and usage: Development began in 2018 by the Haktr Initiative and released its first stable version in 2020. It has been adopted by universities, research labs, and mid-size enterprises for building domain-specific knowledge bases and assistive search tools. The project follows a consensus-driven governance model, with regular releases and community contributions.

Reception and limitations: Observers credit haktr for strong data provenance controls and flexible deployment options, but point to a steep learning curve and a smaller ecosystem of integrations relative to larger platforms. The project is released under the MIT License.

See also: semantic search, knowledge management, vector databases, open-source software.