Software Alternatives & Reviews

How to Build Chatbots with Amazon Bedrock & LangChain

Streamlit Amazon Kendra Amazon Bedrock
  1. Turn python scripts into beautiful ML tools
    Pricing:
    • Open Source
    We now have everything we need to communicate with Amazon Bedrock. In the next step, we will create our Streamlit app.

    #Developer Tools #Application And Data #Productivity 173 social mentions

  2. Amazon Kendra is a highly accurate and easy to use enterprise search service that’s powered by machine learning.
    I recommend you look deeper at LangChain if you are not already familiar with it. You can also look at the aws-samples Github page; they have some great examples to get you started. For example, you could add Amazon Kendra to the mix. Connect it with one of its many sources, like Atlassian Confluence, and set up Langchain to utilize the Kendra retriever. And now you have a chatbot that can answer questions based on the context it grabs from your internal confluence wiki pages.

    #Custom Search #Custom Search Engine #Search Engine 7 social mentions

  3. Use as is or customize foundation models from Amazon and other top providers to quickly develop generative AI applications through a serverless API service.
    Pricing:
    • Open Source
    Amazon Bedrock was released on the 28th of September, and I have been fortunate enough to have had access to it for some time now while it has been in closed preview.

    #Utilities #Communications #Large Language Model Tools 15 social mentions

Discuss: How to Build Chatbots with Amazon Bedrock & LangChain

Log in or Post with