GitHub / aws-samples / 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

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aws-samples%2Ftext-embeddings-pipeline-for-rag
PURL: pkg:github/aws-samples/text-embeddings-pipeline-for-rag

Topics: amazon-bedrock, aws, bedrock, cdk, dms, genai, generative-ai, lambda, langchain, large-language-models, pgvector, rag, rds, rds-postgres, retrieval-augmented-generation, s3, text-embeddings, vectordb

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