7dayrag

HamdanProfessional/7dayrag

★ 0 stars Python AI/LLM Updated today

Production-oriented RAG + AI agent workflow: FastAPI, pgvector hybrid retrieval, grounded answers with citations, tool-calling agent, provider failover (OpenAI/Anthropic/stub), Redis caching, MCP server, n8n automations

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "7dayrag": {
      "command": "uvx",
      "args": [
        "7dayrag"
      ]
    }
  }
}

Or install with pip: pip install 7dayrag

README Excerpt

Production-oriented RAG + AI-agent workflow exposed as a FastAPI service. Built as the reference implementation for a 7-day SaaS AI engagement — grounded Q&A over business data with citations, refusal guardrails, and a tool-using agent that calls internal APIs. See [ARCHITECTURE.md](ARCHITECTURE.md) for design rationale and the day-by-day delivery plan.

Tools (6)

ACCOUNTS_API_BASE_URLLLM_PROVIDERMIN_VECTOR_SCOREOPENAI_BASE_URLRATE_LIMIT_PER_MINUTEanthropic

7dayrag

Quick Install

README Excerpt

Tools (6)

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