chromasql 1.7.0

SQL-like DSL for planning and executing scoped ChromaDB queries.

ChromaSQL

ChromaSQL is a lightweight SQL-flavoured DSL that makes it easy to express queries against ChromaDB collections. It wraps ChromaDB’s collection.query and collection.get APIs with a familiar syntax and provides utilities for parsing, semantic planning, execution, and multi-collection fan-out.

Features

• Lark-based parser that converts SQL-like strings into typed AST nodes.
• Planner that translates the AST into validated QueryPlan objects ready for ChromaDB execution.
• Thin executor that orchestrates vector and filter queries, applies ordering and pagination, and normalises result rows.
• Optional multi-collection helpers and adapters for routing queries across sharded datasets.
• Analysis helpers for extracting metadata-driven routing hints.

For a clause-by-clause walkthrough, see TUTORIAL.md. Additional usage notes and examples live in EXAMPLES.md, while edge cases for OR-based routing are documented in OR_ROUTING_EDGE_CASES.md.

Installation

pip install chromasql

Quickstart

from chromasql import parse, build_plan, execute_plan

query = parse(
    """
    SELECT id, document
    FROM products
    USING EMBEDDING (TEXT 'mesh office chair')
    TOPK 5;
    """
)

plan = build_plan(query)
result = execute_plan(plan, collection=my_chroma_collection, embed_fn=my_embed_fn)

for row in result.rows:
    print(row["id"], row["document"])

Development

We publish chromasql from this monorepo. Use the helper scripts in scripts/ to build wheels, upload to PyPI, or synchronise the public mirror. See CONTRIBUTING.md for architectural background and testing guidelines.