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rjolaverria/README.md

Hi there 👋

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  1. serverless-embeddings-pgvector serverless-embeddings-pgvector Public

    Generates and stores embeddings for documents placed in an S3 bucket

    Python

  2. serverless-crawler serverless-crawler Public

    Serverless Static Web Crawler

    Python

  3. etherATM etherATM Public

    CSS

  4. ktor-chatbot ktor-chatbot Public

    A chatbot built on Ktor using GPT + Embeddings to answer questions

    Kotlin

  5. nextjs-ktor-chatbot-client nextjs-ktor-chatbot-client Public

    A chatbot client for ktor-chatbot

    TypeScript

  6. serverless-crawl-embed serverless-crawl-embed Public

    This is an example of a way to crawl, generate and store embeddings static websites in using an S3 bucket, Lambdas, SQS, DynamoDB, Pinecone(Serverless) and OpenAI(text-embedding-ada-002)

    Python