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View All on GitHubAI Summary: Implement a configuration file (e.g., .env or config.yaml) to manage parameters like model names and collection names, improving the reusability and ease of local setup for the HelpMateAI project. This involves creating the configuration file template and modifying the notebook to load parameters from it.
Retrieval-Augmented Question Answering system for complex insurance documents using Ollama, LangChain, and ChromaDB. Designed for scalable, intuitive document navigation and decision support.
AI Summary: Create a Jupyter Notebook to evaluate different chunking strategies (size and overlap) for the insurance document RAG system. The notebook should compare the impact of these strategies on retrieval quality and include visualizations like chunk length histograms to aid in analysis and selection of optimal parameters.
Retrieval-Augmented Question Answering system for complex insurance documents using Ollama, LangChain, and ChromaDB. Designed for scalable, intuitive document navigation and decision support.