Amazon Bedrock Knowledge Bases

Auto Added by WPeMatico

Build a conversational data assistant, Part 1: Text-to-SQL with Amazon Bedrock Agents

Advanced (300), Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon QuickSight, Amazon Redshift, Artificial Intelligence, Best Practices /

What if you could replace hours of data analysis with a minute-long conversation? Large language models can transform how we bridge the gap between business questions and actionable data insights. For most organizations, this gap remains stubbornly wide, with business teams trapped in endless cycles—decoding metric definitions and hunting for the correct data sources to […]

Build a conversational data assistant, Part 1: Text-to-SQL with Amazon Bedrock Agents Read More »

How Rocket streamlines the home buying experience with Amazon Bedrock Agents

Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Artificial Intelligence, Customer Solutions, Generative AI, Responsible AI /

Rocket Companies is a Detroit-based FinTech company with a mission to “Help Everyone Home.” Although known to many as a mortgage lender, Rocket’s mission extends to the entire home ownership journey from finding the perfect home, purchasing, financing, and using your home equity. Rocket has grown by making the complex simple, empowering clients to navigate

How Rocket streamlines the home buying experience with Amazon Bedrock Agents Read More »

Democratize data for timely decisions with text-to-SQL at Parcel Perform

Amazon Athena, Amazon Bedrock, Amazon Bedrock Knowledge Bases, Business Intelligence, Customer Solutions, Generative AI, Intermediate (200), Supply Chain /

This post was co-written with Le Vy from Parcel Perform. Access to accurate data is often the true differentiator of excellent and timely decisions. This is even more crucial for customer-facing decisions and actions. A correctly implemented state-of-the-art AI can help your organization simplify access to data for accurate and timely decision-making for the customer-facing

Democratize data for timely decisions with text-to-SQL at Parcel Perform Read More »

Query Amazon Aurora PostgreSQL using Amazon Bedrock Knowledge Bases structured data

Amazon Aurora, Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon Redshift, Intermediate (200), Technical How-to /

Amazon Bedrock Knowledge Bases offers a fully managed Retrieval Augmented Generation (RAG) feature that connects large language models (LLMs) to internal data sources. This feature enhances foundation model (FM) outputs with contextual information from private data, making responses more relevant and accurate. At AWS re:Invent 2024, we announced Amazon Bedrock Knowledge Bases support for natural

Query Amazon Aurora PostgreSQL using Amazon Bedrock Knowledge Bases structured data Read More »

Combat financial fraud with GraphRAG on Amazon Bedrock Knowledge Bases

Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Amazon Neptune Analytics, Technical How-to /

Financial fraud detection isn’t just important to banks—it’s essential. With global fraud losses surpassing $40 billion annually and sophisticated criminal networks constantly evolving their tactics, financial institutions face an increasingly complex threat landscape. Today’s fraud schemes operate across multiple accounts, institutions, and channels, creating intricate webs designed specifically to evade detection systems. Financial institutions have

Combat financial fraud with GraphRAG on Amazon Bedrock Knowledge Bases Read More »

Build a just-in-time knowledge base with Amazon Bedrock

Amazon Bedrock, Amazon Bedrock Knowledge Bases, Cloud Cost Optimization, Generative AI, SaaS /

Software as a service (SaaS) companies managing multiple tenants face a critical challenge: efficiently extracting meaningful insights from vast document collections while controlling costs. Traditional approaches often lead to unnecessary spending on unused storage and processing resources, impacting both operational efficiency and profitability. Organizations need solutions that intelligently scale processing and storage resources based on

Build a just-in-time knowledge base with Amazon Bedrock Read More »

Choosing the right approach for generative AI-powered structured data retrieval

AI/ML, Amazon Bedrock, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Amazon Q Business, Amazon QuickSight, Amazon Redshift, Amazon SageMaker, Amazon SageMaker AI, Generative AI, Generative BI, Natural Language Processing /

Organizations want direct answers to their business questions without the complexity of writing SQL queries or navigating through business intelligence (BI) dashboards to extract data from structured data stores. Examples of structured data include tables, databases, and data warehouses that conform to a predefined schema. Large language model (LLM)-powered natural language query systems transform how

Choosing the right approach for generative AI-powered structured data retrieval Read More »

Build an agentic multimodal AI assistant with Amazon Nova and Amazon Bedrock Data Automation

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Data Automation, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Amazon Nova, Artificial Intelligence, Generative AI /

Modern enterprises are rich in data that spans multiple modalities—from text documents and PDFs to presentation slides, images, audio recordings, and more. Imagine asking an AI assistant about your company’s quarterly earnings call: the assistant should not only read the transcript but also “see” the charts in the presentation slides and “hear” the CEO’s remarks.

Build an agentic multimodal AI assistant with Amazon Nova and Amazon Bedrock Data Automation Read More »

Building a custom text-to-SQL agent using Amazon Bedrock and Converse API

Amazon Bedrock, Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon DynamoDB, Amazon Machine Learning, AWS Lambda, Technical How-to /

Developing robust text-to-SQL capabilities is a critical challenge in the field of natural language processing (NLP) and database management. The complexity of NLP and database management increases in this field, particularly while dealing with complex queries and database structures. In this post, we introduce a straightforward but powerful solution with accompanying code to text-to-SQL using

Building a custom text-to-SQL agent using Amazon Bedrock and Converse API Read More »

Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases

Advanced (300), AI/ML, Amazon Bedrock Knowledge Bases, Amazon Redshift, AWS Glue, Generative AI, Technical How-to /

Organizations manage extensive structured data in databases and data warehouses. Large language models (LLMs) have transformed natural language processing (NLP), yet converting conversational queries into structured data analysis remains complex. Data analysts must translate business questions into SQL queries, creating workflow bottlenecks. Amazon Bedrock Knowledge Bases enables direct natural language interactions with structured data sources.

Build conversational interfaces for structured data using Amazon Bedrock Knowledge Bases Read More »