creating-kb

# creating-kb Turn a pile of files into a **portable, deployable knowledgebase**. The output is a `.skill` bundle — an ordinary zip — containing a BM25 inverted index, the chunk text, a pure-Node searcher, and a query protocol. It has no embedding model and no semantic search: retrieval is lexical, and the consuming agent supplies the semantic layer by expanding the query at search time. That is what makes the bundle portable — any agent that can run `node` can query it with no `npm install`, no model download, and no network. The whole toolchain is JavaScript so one implementation serves both this builder and the in-browser packer. Build with the bundled script; do not hand-roll the index. ``` SCRIPTS=/mnt/skills/user/creating-kb/scripts node $SCRIPTS/build_lexkb.js CORPUS_DIR --out /tmp/kb --name my-kb --zip ``` ## Workflow ### 1. Gather the sources Collect the files into one directory. In a Claude.ai chat, uploads land in `/mnt/user-data/uploads/` — point the builder there. Otherwise use any path the user names. Supported extensions default to `txt,md,html,htm`; pass `--ext` to change them. This MVP interface is bounded by how many files a chat can accept. For a large corpus, stage the files in a directory first, or use the browser packer (built from the same scripts) that runs entirely client-side. ### 2. Build the bundle ```bash SCRIPTS=/mnt/skills/user/creating-kb/scripts node $SCRIPTS/build_lexkb.js /mnt/user-data/uploads \ --out /tmp/kb --name my-kb --zip \...