GH Repository · Ontos-AI
knowhere
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
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pythoncodexcursorclaude-codelangchainpython/uvmutli-agentskillsmakeai-agentsrag-pipelinevector-databaseagent-appagent-harnessdocument-intelligencePython
Knowhere is a Python toolchain that extracts, parses, and outputs structured chunks of documents prepared for AI agents and RAG pipelines. It ships an AGENTS.md and is built with Python and uv via Make.
Reach for it when you need document content turned into structured chunks that agents and retrieval pipelines can consume.
Use it to
- Parse documents into structured chunks
- Feed chunks into a RAG pipeline
- Integrate with agent harnesses like Claude Code or Cursor
- Prepare content for vector database ingestion
- Support multi-agent document workflows
For Developers building agent or RAG pipelines
- Role
- agent-app
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 319
- Open issues
- 18
- Last push
- 2026-09-17
- Latest release
- 2026.04.30.1 · 2026-04-30
topicsdocument-intelligenceragagentschunkingpythonvector-database