# Katara

## Katara

- [Welcome to Katara](https://docs.katara.ai/about/overview/readme.md): Katara is governed AI infrastructure for regulated teams that need to adopt AI while keeping usage controlled, traceable, and auditable.
- [What is Katara?](https://docs.katara.ai/about/overview/what-is-katara.md): Katara is governed AI infrastructure for regulated teams that need to adopt AI while proving usage stays controlled, traceable, and compliant.
- [Platform overview](https://docs.katara.ai/about/platform/platform.md): Overview of Katara's governed AI infrastructure and the four platform components that make AI use controlled, traceable, and auditable.
- [AI Knowledge Base](https://docs.katara.ai/about/platform/ai-knowledge-base.md): The approved knowledge layer that keeps AI retrieval tied to trusted sources, permissions, and policy.
- [AI Gateway](https://docs.katara.ai/about/platform/ai-gateway.md): The gateway that keeps model traffic inside policy with access, routing, budget, and traceability controls.
- [MCP Registry](https://docs.katara.ai/about/platform/mcp-registry.md): The managed registry for approved MCP servers and tools inside Katara.
- [Shared Memory Layer](https://docs.katara.ai/about/platform/shared-memory-layer.md): The governed memory layer that lets AI retain useful context without allowing uncontrolled recall.
- [Organizations](https://docs.katara.ai/about/governance-concepts/manage-your-organization.md): Organizations provide the governance boundary for users, documents, sources, and AI activity in Katara.
- [Knowledge sources](https://docs.katara.ai/about/governance-concepts/what-is-a-corpus.md): Knowledge sources are the approved documents and systems that Katara can use to ground AI answers inside governed boundaries.
- [Access and visibility](https://docs.katara.ai/about/governance-concepts/visibility.md): Access and visibility determine which knowledge sources can be retrieved or shown in governed AI workflows.
- [Sharing](https://docs.katara.ai/about/governance-concepts/sharing.md): Sharing grants access to approved knowledge sources without making them available to everyone by default.
- [Document ownership](https://docs.katara.ai/about/governance-concepts/document-ownership.md): Document ownership identifies who is responsible for a knowledge source and helps keep access intentional.
- [Collections](https://docs.katara.ai/about/governance-concepts/collections.md): Collections group approved knowledge sources so retrieval can stay scoped to the right context.
- [Classifiers](https://docs.katara.ai/about/classifiers/classifiers.md): Classifier agents tag documents by categories like Topic, Language, or Sentiment. They run on schedules, with configurable filters, thresholds, and report options.
- [Topic Classifier](https://docs.katara.ai/about/classifiers/classifiers/topic-classifier.md): The topic classifier tags data using topics from a taxonomy.
- [Flesch Reading Ease Classifier](https://docs.katara.ai/about/classifiers/classifiers/flesch-reading-ease-classifier.md): The Flesch Reading Ease Classifier rates how easy your data is to read using the Flesch formula.
- [Language Classifier](https://docs.katara.ai/about/classifiers/classifiers/language-classifier.md): The Language Classifier classifies your data based on what language it is.
- [Passive Voice Classifier](https://docs.katara.ai/about/classifiers/classifiers/passive-voice-classifier.md): The Passive Voice Classifier classifies your data based on the amount of passive voice it uses.
- [Sentiment Classifier](https://docs.katara.ai/about/classifiers/classifiers/sentiment-classifier.md): The Sentiment Classifier classifies data by sentiment: positive, neutral, or negative.
- [General LLM Classifier](https://docs.katara.ai/about/classifiers/classifiers/general-llm-classifier.md): The General LLM Classifier classifies your data into topics that you define.
- [Diátaxis Classifier](https://docs.katara.ai/about/classifiers/classifiers/diataxis-classifier.md): The Diátaxis Classifier classifies your documentation into the four categories of the Diátaxis framework: tutorials, how-to guides, reference material, and explanation.
- [Tone Classifier](https://docs.katara.ai/about/classifiers/classifiers/tone-classifier.md): The Tone Classifier classifies your data based on the writing tone used in each document.