shivamsanju/ragswift
🚀 Scale your RAG pipeline using Ragswift: A scalable centralized embeddings management platform
Building AI applications that use your own documents or data can be complex due to the challenges of managing large volumes of text and data embeddings. This platform simplifies that by taking your documents (from sources like S3 or GitHub) and providing an organized, searchable database of their embeddings. It's designed for AI engineers and data scientists who are developing large-scale Retrieval Augmented Generation (RAG) applications.
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Use this if you are developing AI applications that need to process vast amounts of text data from various sources and require a scalable, centralized system to manage and retrieve document embeddings efficiently.
Not ideal if you are a business user or an individual looking for an off-the-shelf AI tool, as this requires technical setup and is designed for developers building RAG systems.
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38
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3
Language
Python
License
MIT
Category
Last pushed
Jan 29, 2024
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