StackEngine

StackEngine

StackEngine is an open-source platform for building knowledge bases and question answering systems. It allows capturing domain expertise in a structured way and using AI to augment and automate finding answers in knowledge content.
StackEngine image
knowledge-base question-answering open-source

StackEngine: Open-Source Knowledge Base Platform

Build question answering systems, capture domain expertise, and use AI for automated answer finding - StackEngine is an open-source platform for knowledge bases.

What is StackEngine?

StackEngine is an open-source platform for building knowledge bases and question answering systems. It provides a suite of tools to capture, structure, and operationalize domain expertise and knowledge content at scale.

Key features and capabilities of StackEngine include:

  • Knowledge graph data model for representing entities and relationships
  • Structured content editor for authoring triples, properties, and metadata
  • Connectors for integrating withdatabases, CMSs, and other data sources
  • Machine reading comprehension models for extracting information from unstructured text
  • Multi-channel search, query, and question answering interfaces
  • APIs for querying knowledge and embedding in downstream applications
  • Analytics dashboards for tracking knowledge base usage and metrics

StackEngine enables subject matter experts to capture knowledge in a reusable way, connect disparate data sources, apply AI for knowledge extraction and question answering, and deliver that knowledge to end users via multiple channels. It accelerates building institutional knowledge management solutions and knowledge-powered products.

StackEngine Features

Features

  1. Knowledge graph data model
  2. Question answering through semantic search
  3. Conversational interface
  4. Knowledge authoring web application
  5. Open source under AGPL license

Pricing

  • Open Source

Pros

Free and open source

Flexible data model

Easy to extend and customize

Good for building domain-specific knowledge bases

Cons

Limited out-of-the-box integrations

Steep learning curve

Not as scalable as commercial alternatives


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