Your codebase, decoded. KnowLang brings intelligent exploration to software development, helping you unlock hidden knowledge and accelerate understanding
KnowLang combines cutting-edge LLM technology with intelligent code parsing to provide a seamless experience for understanding complex codebases.
Language support for Python, C++, TypeScript, with more languages on the roadmap.
Find relevant code snippets based on natural language queries that understand the intent behind your questions.
Get detailed explanations about code functionality and implementation details with accurate context.
Intelligent code parsing that preserves semantic meaning for more accurate and relevant results.
Powerful multi-stage retrieval pipeline with keyword search, vector embedding search, and relevance reranking.
Efficiently update your index when code changes without reprocessing the entire codebase.
A simple workflow that effortlessly integrates with your development process
KnowLang analyzes your repository, intelligently breaking it down into semantically meaningful chunks that preserve context.
Code chunks are summarized by an LLM, embedded into vector space, and stored in a pgvector database for efficient retrieval.
Use natural language to query your codebase, from high-level architecture questions to implementation details.
KnowLang's two-stage retrieval system finds the most relevant code snippets and generates comprehensive, context-aware answers.
Experience the power of KnowLang and transform how you navigate complex code. Try our live demo or get started with your own repo in minutes.