ALucek/chunking-strategies

An Overview of the Latest Document Chunking Research

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Emerging

This project helps you prepare large text documents for use with AI systems like chatbots or question-answering tools. It takes your raw, unstructured text and breaks it down into smaller, optimized pieces that improve how accurately the AI can understand and respond to your queries. Anyone building or managing RAG (Retrieval Augmented Generation) applications, from content managers to data scientists, would find this useful.

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Use this if you need to improve the accuracy and relevance of your AI's responses when working with large volumes of text.

Not ideal if your primary goal is simple text splitting without considering the impact on AI retrieval performance.

AI-application-development natural-language-processing text-retrieval knowledge-management generative-AI
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 19 / 25

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85

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18

Language

Jupyter Notebook

License

Last pushed

Nov 25, 2024

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curl "https://pt-edge.onrender.com/api/v1/quality/rag/ALucek/chunking-strategies"

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