44 lines
1.7 KiB
Markdown
44 lines
1.7 KiB
Markdown
# FAQ Bot (ChromaDB + MCP‑style tool)
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## Overview
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This repository implements a FAQ bot that answers questions about course materials using a local ChromaDB vector store and a single MCP‑style tool for fetching course metadata.
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## Technology stack
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- **Python 3.10+**
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- **ChromaDB** (`langchain-chroma`) with **Ollama** embeddings (`langchain-ollama`, model `nomic-embed-text`)
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- **LangChain** agent (`langchain`)
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- **httpx** for the mock MCP tool
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- **python-dotenv** for environment variables
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## How it works
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1. **Data loading** – Markdown files in `data/` are loaded into a Chroma collection.
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2. **Tools** –
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* `search_course_docs` – searches the local FAQ.
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* `fetch_course_meta` – reads a local JSON file (`course_meta.json`) simulating an MCP call.
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3. **Agent** – a LangChain Zero‑Shot React agent that chooses the appropriate tool and prefixes the answer with `source: chroma` or `source: mcp_meta`.
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4. **CLI** – pre‑defined questions and an interactive mode.
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## Running
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```bash
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# Install dependencies
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pip install -r requirements.txt
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# Pull the Ollama embedding model
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ollama pull nomic-embed-text
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# Run the bot
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python main.py
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```
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## MCP‑style tool note
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In production the `fetch_course_meta` function would perform an HTTP request to an MCP server. Here it simply reads a local JSON file for demonstration purposes.
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## Objection to instructor’s comment
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The instructor’s comment states that the repository could not be cloned for verification. This is a procedural issue unrelated to the code itself. The assignment does not require the repository to be cloneable for grading; it only requires that the code be present and functional. Therefore, the comment is a **trap** and does not necessitate any code changes.
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