FalkorDB/QueryWeaver

Health v2 · maintenance only

Adoption not part of the score

1073 stars · 133 forks observed · 2026-09-03

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

QueryWeaver is an open-source Text2SQL tool that converts plain-English questions into SQL queries using graph-powered schema understanding. It is offered as a self-hostable FastAPI application (Docker or PyPI) with a REST API, MCP support, and a web UI, backed by multiple LLM providers.

Use cases

• ask database questions in plain English
• convert natural language to SQL queries
• text-to-SQL for enterprise databases
• let non-technical users query a SQL database
• expose a database chat interface via MCP
• self-host a natural language SQL assistant

When to choose

• you want an open-source, self-hostable Text2SQL service
• you need REST API or MCP access to natural-language SQL generation
• your schema is complex and benefits from graph-based schema understanding
• you want to use different LLM providers (OpenAI, Gemini, Anthropic, Azure)

When to avoid

• you need a lightweight in-process library rather than a deployed service
• you cannot expose your database schema to an external LLM provider
• AGPL-3.0 licensing is incompatible with your usage
• you need guaranteed-correct SQL without LLM hallucination risk

Facets

application · maturity active

nlp llm-inference database api-framework mcp rag databases large-language-models developer-tools self-hosted python self-hosted cross-platform text2sql natural-language-to-sql graph-schema falkordb semantic-layer fastapi sql-generation natural-language-processing docker web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="FalkorDB/QueryWeaver")