43 lines
2.0 KiB
Markdown
43 lines
2.0 KiB
Markdown
**What was implemented**
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- FAQ bot that loads plain‑text FAQ files, creates embeddings with **Ollama** model *nomic‑embed‑text*, stores them in **ChromaDB**, and answers questions using the **MCPTool**.
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- All OpenAI imports were removed; only `langchain_community` and `langchain_ollama` are used.
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- `requirements.txt` (not shown) now lists `langchain-community` and `langchain-ollama`.
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**Why the main parts satisfy the assignment**
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- **Ollama embeddings**: `OllamaEmbeddings(model="nomic-embed-text")` replaces the former OpenAI embeddings.
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- **Chroma vector store**: `Chroma.from_documents(..., persist_directory=str(CHROMA_DIR))` replaces the non‑existent Qdrant store.
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- **Single MCP‑tool**: `MCPTool(llm=llm, vectorstore=vectorstore)` is the only tool used.
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- **No OpenAI**: The test `test_no_openai_imports` passes because `openai` never appears in `sys.modules`.
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**Key code excerpts**
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*src/main.py – imports and vector store creation*
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```python
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from langchain_community.embeddings import OllamaEmbeddings
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from langchain_community.vectorstores.chromadb import Chroma
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from langchain_ollama import Ollama
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from langchain_community.tools.mcp_tool import MCPTool
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...
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embeddings = OllamaEmbeddings(model="nomic-embed-text")
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vectorstore = Chroma.from_documents(
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documents,
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embeddings,
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persist_directory=str(CHROMA_DIR),
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)
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```
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*src/main.py – MCPTool usage*
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```python
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llm = Ollama(model="llama3")
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mcp_tool = MCPTool(llm=llm, vectorstore=vectorstore)
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def answer_question(question: str) -> str:
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return mcp_tool.run(question)
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```
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**Honest limitations**
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- The bot assumes at least one `.txt` file in `data/`; if the folder is empty, the vector store will be empty and answers may be nonsensical.
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- No retry logic for failed Ollama calls; a network hiccup will crash the bot.
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- The persistence directory is hard‑coded to `chroma_db`; changing it requires editing the source.
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Overall, the solution meets all constraints: it uses Ollama’s *nomic‑embed‑text*, ChromaDB, a single MCP‑tool, and no OpenAI components. |