Memory Wiki & Vector RAG Store - Hiroshi OS

Hiroshi features a file-backed Memory Wiki system that chunks local markdown manuals, generates vector embeddings, and performs fast mathematical cosine similarity lookups.

⚙️ 1. Configurations Setup

To enable Memory Wiki search, update settings inside config.toml:

[wiki]
enabled = true
wiki_dir = "~/.hiroshi/workspace/wiki"
similarity_threshold = 0.75

🛠️ 2. Execution Primitives

`<wiki_store>`

Index or re-index the markdown knowledge base:

<wiki_store>/path/to/custom/wiki</wiki_store>

Slices markdown blocks at paragraph boundaries (\n\n).
Caches generated vector embeddings in-memory.

`<wiki_search>`

Search semantic vector databases using cosine dot-product similarity:

<wiki_search>how to deploy on digitalocean</wiki_search>

Generates query embedding vectors.
Performs dot-product calculation matching chunks with scores exceeding similarity_threshold.