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. Maintained by aws-samples on GitHub, where it has earned 21 stars from the community.

It's actively developed around amazon-bedrock, genai, generative-ai, and is a solid reference for anyone building with these tools.