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AI & ML
text-embeddings-pipeline-for-rag by aws-samples
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.
aws-samples
Maintainer
21 stars
Install
pip install text-embeddings-pipeline-for-ragMore LangChain projects
AI & ML
This repository features three demos that can be effortlessly integrated into your AWS environment. They serve as a practical guide to leveraging AWS services for crafting a sophisticated Large Language Model (LLM) Generative AI, geared towards creating a responsive Question and Answer Bot and localizing content generation. Maintained by aws-samples on GitHub, where it has earned 46 stars from the community.
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This repository contains the code and infrastructure as code for a Generative AI-powered Request for Proposal (RFP) Assistant leveraging Amazon Bedrock and AWS Cloud Development Kit (CDK). Maintained by aws-samples on GitHub, where it has earned 37 stars from the community.
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2y agoAI & ML
A TypeScript client for running flows via the Langflow API. Maintained by langflow-ai on GitHub, where it has earned 39 stars from the community.
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