Amazon Kendra Reviews

Azure Cognitive Search Reviews

Amazon Kendra mentions (9)

• Building Custom Kendra Connectors and Managing Data Sources with IaC

  In today's AI-driven business landscape, chatbots have become the primary interface between companies and their customers. The effectiveness of these AI assistants hinges on one critical factor: the quality and accessibility of the data they're trained on. Amazon Kendra offers a powerful solution - a fully managed service that intelligently indexes and retrieves information from multiple data sources, enabling... - Source: dev.to / about 1 month ago

• Deploy Amazon Q Business with AWS CDK - example and best practices

  The Q Business retriever is used to read the data from the index when users interact with the Q Business. You must specify the index type (in this example NATIVE_INDEX instead of using Amazon Kendra) and a reference to the index itself. - Source: dev.to / 9 months ago

• How to Build Chatbots with Amazon Bedrock & LangChain

  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... - Source: dev.to / over 1 year ago

• [P] Integrating a language model into an e-commerce website

  If you're doing this on AWS they already have a really contained solution for this. I'm sure Azure has a similar solution. I'll assume AWS - if so, AWS Kendra is a good place to start. This will give you performant natural language understanding and enterprise search support. Then you just need to map the rest of your desired functions to core AWS solutions. Source: almost 2 years ago

• Amazon Titan

  > > One of the most important capabilities of Bedrock is how easy it is to customize a model. Customers simply point Bedrock at a few labeled examples in Amazon S3, and the service can fine-tune the model for a particular task without having to annotate large volumes of data (as few as 20 examples is enough) I can't even. Does anyone remember Amazon Kendra [1]? They promised the same there. "Here's an ML powered... - Source: Hacker News / about 2 years ago

Azure Cognitive Search mentions (4)

• Make your Azure OpenAI apps compliant with RBAC

  Microsoft offers an array of different AI-powered products, including Azure OpenAI Service, Azure AI Search, Azure AI Speech, and their most recent Microsoft Copilot for Office 365. - Source: dev.to / about 1 year ago

• Show HN: Dera – A platform to manage chunks and embeddings for building RAG apps

  Very cool. I wonder when it makes sense to engineer things at this level vs using something like Azure AI search. [0] Love to see version control on all the things! Wonder if the version control features would be more robust if implemented in Doltgres. [0] https://azure.microsoft.com/en-us/products/ai-services/ai-search/ [1] https://github.com/dolthub/doltgresql. - Source: Hacker News / about 1 year ago

• 🎵 Do you want to build a Chatbot? 🎵

  Azure Cognitive Search may seem out of place in an article on conversational AI, but I do believe that chatbots are really often a form of conversational search. You're interacting with a virtual agent looking for some piece of information or looking to accomplish some task. - Source: dev.to / over 2 years ago

• Managing the infrastructure of a reusable ecommerce platform with Terraform

  In the ones where we need a persistence layer, we rely on the resources Azure Cosmos DB or Azure Database for PostgreSQL. Other services provide an API to search among a catalog of products with Azure Cognitive Search. As I will explain later, we work with different environments, therefore, creating and updating the resources across them becomes a harder task. - Source: dev.to / almost 4 years ago