RAGLite — a local RAG cache (not a memory replacement)

RAGLite is a local-first RAG cache.

It does not replace model memory or chat context. It gives your agent a durable place to store and retrieve information the model wasn’t trained on — especially useful for local/private knowledge (school work, personal notes, medical records, internal runbooks).

Why it’s better than “paid RAG” / knowledge bases (for many use cases)

• Local-first privacy: keep sensitive data on your machine/network.
• Open-source building blocks: Chroma 🧠 + ripgrep ⚡ — no managed vector DB required.
• Compression-before-embeddings: distill first → less fluff/duplication → cheaper prompts + more reliable retrieval.
• Auditable artifacts: the distilled Markdown is human-readable and version-controllable.

If you later outgrow local, you can swap in a hosted DB — but you often don’t need to.

What it does

1) Condense ✍️

Turns docs into structured Markdown outputs (low fluff, more “what matters”).