AI-powered development memory system. Semantic search across codebase history, documentation, and team communications.
As engineering teams grow, institutional knowledge gets fragmented across Slack, Jira, GitHub, and Google Docs. New hires spend weeks just figuring out "how things work" or why certain decisions were made.
KeenDreams was built to solve this by creating a unified semantic index of all technical knowledge.
Ingesting thousands of documents, chunking them, and storing vector embeddings for semantic similarity search.
Retrieval Augmented Generation to feed relevant context into an LLM, allowing it to answer questions accurately.
Using weak supervision to automatically classify and tag content based on its semantic meaning.