text-embeddings-pipeline-for-rag

A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store

lambda

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21 Stars

3 Forks

21 Watchers

TypeScript Language

mit-0 License

100 SrcLog Score

Cost to Build

$8.5K

Market Value

$11.4K

How is this calculated?

Growth over time

3 data points · 2025-09-09 → 2026-04-20

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What is the aws-samples/text-embeddings-pipeline-for-rag GitHub project? Description: "A pipeline to convert contextual knowledge stored in documents and databases into text embeddings, and store them in a vector store". Written in TypeScript. Explain what it does, its main use cases, key features, and who would benefit from using it.

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