22 lines
704 B
Markdown
22 lines
704 B
Markdown
# Agent with RAG Memory
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This project demonstrates a simple Node.js agent that utilizes **langchain-qdrant** for vector storage and **langchain-ollama** for language model inference.
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## Setup
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```bash
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# Install dependencies
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npm install
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# Run the agent
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npm start
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```
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The agent will initialize a connection to a Qdrant instance (default URL: `http://localhost:6333`) and an Ollama LLM (default model: `llama2`). Adjust the configuration in `index.js` as needed for your environment.
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## Dependencies
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- `langchain-qdrant`: Vector store integration with Qdrant.
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- `langchain-ollama`: LLM integration with Ollama.
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Ensure that Qdrant and Ollama services are running locally or update the URLs accordingly. |