GraphQL Schema Memory for AI Coding Agents: Building a GraphQL SDL Connector for Cognee

说明与用途

将 GraphQL SDL 入口到 Cognee，帮助 AI 代理获取准确的 API 结构，减少错误生成的查询。

问题

AI coding agents often generate GraphQL queries that reference nonexistent fields or incorrect argument names, leading to validation failures and wasted effort.

结果

Ingesting GraphQL SDL into Cognee allows AI agents to access accurate schema definitions, reducing hallucinations and improving the correctness of generated queries and mutations.

工作流

• Install cognee and cognee-community-connector-graphql via pip
• Place schema.graphql and a Python script in the same directory
• Create index_schema.py that imports cognee and the connector
• Use the connector to parse the SDL and ingest entities into Cognee
• Query Cognee with natural language to retrieve relevant schema parts
• Provide retrieved schema context to the AI coding agent before query generation

证据

GraphQL schema hallucination

来源

The goal is to make GraphQL Schema Definition Language (SDL) files accessible through Cognee's knowledge and retrieval workflow

来源

Install Dependencies pip install cognee cognee-community-connector-graphql

来源