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LanceDBVFS exposes a LanceDB table as a read-only filesystem: group-by columns become nested folders, each row is a card plus an optional blob file, and semantic search is the search CLI. The TypeScript backend mirrors the Python one and returns identical results.

Node

Config

Fields marked secret are redacted in snapshots.

VFS.md

The VFS.md an agent reads with LanceDB mounted at /<path>.

Virtual Filesystem

/<path> layout

Supported Unix Commands for VFS

Unix commands work on each path as on a local filesystem, as far as the path supports them:

Limitations of Unix Commands for VFS

Where a path differs from a local filesystem:Run man <cmd> or <cmd> --help for one command’s usage.
A groupBy value holding / renders as ∕, and a blank or dot-led value is led by ⁄, so every value keeps its own directory that lists and opens, and descending into it filters for exactly that value. Semantic search is the search command, not a path: it returns ranked rows as the canonical <id>.md paths above, annotated with the vector distance.

Cloud and Enterprise

db:// URIs connect to LanceDB Cloud (apiKey + region) or Enterprise (apiKey + hostOverride):

Integration

What LanceDB answers through its own API, so fewer files are read. Integration explains each command. The Python LanceDB docs list when each search answers and what it can miss.

Supported commands

ls, cd, tree, cat, stat, find and wc. grep/rg stay lexical; the search CLI’s search "<query>" <path> is the semantic path, returning ranked rows as canonical <id>.md paths plus a score, so results compose with cat, wc, and pipes. Flags: --top-k, --threshold, --method semantic. Search requires a table built with an embedding function on a source field, so tbl.search(text) auto-embeds the query. The Node example under examples/typescript/vfs/lancedb/ builds such a table and produces the same output as the Python example, including identical similarity scores (0.2679).