X (formerly known as Twitter) with over 550 million active users has become a tool for understanding public opinion and spotting trends. Real-time insights play a crucial role for brands to analyze tweet data effectively. Amazon Managed Service for Apache Flink allows real-time analysis of streaming data using Apache Flink with stateful computation and exactly-once consistency. Generative AI models like Anthropic Claude on Amazon Bedrock are used for natural language conversational experiences.
Combining real-time analytics with generative AI and NLP models allows for detailed analysis of tweets beyond sentiment analysis. It helps in identifying trends, conducting sentiment analysis, detecting nuances like emojis and sarcasm, addressing concerns proactively, guiding product development, and creating targeted customer segments with actionable insights. Retrieval Augmented Generation (RAG) is used to reference real-time tweets with large language models, allowing for customization without retraining the model.
The flow and architecture of the application are split into data ingestion and insights retrieval stages. Data is ingested from streaming sources like X, processed using Apache Flink, and transformed into vector embeddings stored in OpenSearch Service for semantic search. The insights retrieval section involves user queries to retrieve context from OpenSearch Service and generate responses using generative AI models through LangChain RAG chains.
Implementation details include using Amazon Bedrock and Apache Flink for processing tweets and creating vector embeddings, storing embeddings in OpenSearch Service for semantic search, and using Lambda functions with LangChain to facilitate RetrievalQA. Few-shot prompting technique is used to provide conditioning examples in the prompt for LLMs.
Key considerations for extending the solution include index retention, incorporating chat history, adding filters for hybrid search, modifying TTL for state management, and enabling logging. The solution aims to combine real-time analytics with generative AI to provide insights from live tweets for brands, products, or topics of interest. It offers a comprehensive overview of how these technologies can be leveraged for real-time data analysis and actionable insights.
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https://aws.amazon.com/blogs/big-data/uncover-social-media-insights-in-real-time-using-amazon-managed-service-for-apache-flink-and-amazon-bedrock/