"The AI Context Engineering Platform"
Build production-ready AI applications with document ingestion, hybrid retrieval, conversation memory, prompt management, and multi-provider LLM orchestration.
Everything required to manage the context lifecycle for enterprise LLM systems.
Multi-format parsing (Markdown, PDF, OpenAPI, JSON), intelligent chunking, and parallel embedding vectors.
Qdrant dense vector search combined with PostgreSQL BM25 keyword matching fused via Reciprocal Rank Fusion (RRF).
Importance-scoring recency decay algorithm and rolling summarization for infinite long-term chat memory.
Handlebars templating engine, version control, Monaco code editor, and variable preview playground.
Automated CI/CD regression benchmarking for Recall@K, Precision@K, MRR, and generation latency.
Written in pure Rust with Tokio async runtime, Axum REST Gateway, and zero-cost abstractions for sub-100ms latency.
Modular Rust Workspace Architecture
Axum REST API + clap CLI
Postgres + Redis + Qdrant
RRF Merge & Token Budgeting
OpenAI / Anthropic / Gemini