39 lines
1.2 KiB
Markdown
39 lines
1.2 KiB
Markdown
## 📚 AI Research Agent with Memory
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This Streamlit app implements an AI-powered research assistant that helps users search for academic papers on arXiv while maintaining a memory of user interests and past interactions. It utilizes OpenAI's GPT-4o-mini model for processing search results, MultiOn for web browsing, and Mem0 with Qdrant for maintaining user context.
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### Features
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- Search interface for querying arXiv papers
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- AI-powered processing of search results for improved readability
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- Persistent memory of user interests and past searches
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- Utilizes OpenAI's GPT-4o-mini model for intelligent processing
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- Implements memory storage and retrieval using Mem0 and Qdrant
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### How to get Started?
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1. Clone the GitHub repository
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```bash
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git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
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```
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2. Install the required dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Ensure Qdrant is running:
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The app expects Qdrant to be running on localhost:6333. Adjust the configuration in the code if your setup is different.
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```bash
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docker pull qdrant/qdrant
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docker run -p 6333:6333 -p 6334:6334 \
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-v $(pwd)/qdrant_storage:/qdrant/storage:z \
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qdrant/qdrant
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```
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4. Run the Streamlit App
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```bash
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streamlit run ai_arxiv_agent_memory.py
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```
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