KnowledgeFlow Assistant

Private user posted an update — Oct 15, 2025 10:48 PM EDT

The Amazon tool/product used to build a custom knowledge base chatbot that can answer questions based on a company's internal documents by connecting Bedrock's knowledge base feature to data in Amazon Aurora PostgreSQL Serverless or other data stores is Amazon Bedrock Knowledge Bases. Amazon Bedrock Knowledge Bases is a fully managed service that supports connecting to both unstructured data sources and structured data stores, such as Amazon Aurora PostgreSQL Serverless. It enables building conversational AI systems with Retrieval Augmented Generation (RAG) where the data is ingested, converted into embeddings, stored in a vector store, and then used to generate contextually relevant chatbot responses. It features a built-in natural language to SQL capability to query structured data stores directly without needing to move the data elsewhere, ideal for transactional and internal data in databases like Amazon Aurora. This service also supports integration with vector stores such as Amazon OpenSearch Serverless, MongoDB, and others for managing embeddings. Hence, the Amazon tool used is Amazon Bedrock Knowledge Bases.

Private user started this project — Oct 15, 2025 10:46 PM EDT

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