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First-party dirsql plugin: semantic search via an OpenAI-compatible embeddings endpoint.

Project description

dirsql-plugin-embeddings

A first-party dirsql plugin that adds semantic search over a directory of Markdown files. It is the worked implementation behind the Search documents by meaning how-to, swapping that guide's local model2vec model for any OpenAI-compatible /v1/embeddings endpoint.

uvx --with dirsql-plugin-embeddings dirsql

Deliberately minimal (v0.1): one embedding provider shape, one table, no chunking, no config surface beyond three environment variables.

How it works

The plugin ships a dirsql.toml fragment that dirsql discovers when the package is installed alongside it. The fragment declares:

  • the sqlite-vec extension, for vec_distance_cosine();
  • a documents table whose on-file hook embeds each **/*.md file into a TEXT embedding column;
  • a pre-query hook that embeds the incoming question and emits the nearest-neighbor SQL.

Both hooks are console scripts that call the same embedder.

Configuration

The embedder reads three environment variables (point them at any hosted or self-managed OpenAI-compatible inference server):

Variable Meaning
DIRSQL_EMBEDDINGS_BASE_URL Base URL; /v1/embeddings is appended.
DIRSQL_EMBEDDINGS_MODEL Model name sent in the request.
DIRSQL_EMBEDDINGS_API_KEY Bearer token for Authorization.

Console scripts

Script Hook Input Output
dirsql-embeddings-on-file on-file a file's absolute path (argv[1]) one-line JSON row array with path, text, embedding
dirsql-embeddings-pre-query pre-query a raw request body (argv[1]) nearest-neighbor SQL over documents

pre-query accepts both a verbatim server body ({"q": ...}) and the CLI query subcommand's {"sql": <arg>} wrapper, so dirsql query '{"q": ...}' and a real POST /query both work.

Tests

Three tiers, per the dirsql testing conventions:

  • unit (colocated, mocked seams) — src/dirsql_plugin_embeddings/*_test.py
  • integration (tests/integration/) — each console script as a real subprocess against a local stub /v1/embeddings server
  • e2e (tests/e2e/) — the full loop through the real launcher + dirsql binary + sqlite-vec, nothing mocked but the embedding endpoint

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