·bedrock-knowledge-bases
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bedrock-knowledge-bases

adaptationio/skrillz

Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retrieve and generate APIs, manage sessions. Use when building RAG applications, implementing semantic search, creating document Q&A systems, integrating knowledge bases with agents, optimizing chunking for accuracy, or querying enterprise knowledge.

8Installs·0Trend·@adaptationio

Installation

$npx skills add https://github.com/adaptationio/skrillz --skill bedrock-knowledge-bases

SKILL.md

Amazon Bedrock Knowledge Bases is a fully managed RAG (Retrieval-Augmented Generation) solution that handles data ingestion, embedding generation, vector storage, retrieval with reranking, source attribution, and session context management.

Best for: Interconnected knowledge domains requiring relationship-aware retrieval

Supported File Types: PDF, TXT, MD, HTML, DOC, DOCX, CSV, XLS, XLSX

Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retrieve and generate APIs, manage sessions. Use when building RAG applications, implementing semantic search, creating document Q&A systems, integrating knowledge bases with agents, optimizing chunking for accuracy, or querying enterprise knowledge. Source: adaptationio/skrillz.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/adaptationio/skrillz --skill bedrock-knowledge-bases
Category
{}Data Analysis
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is bedrock-knowledge-bases?

Amazon Bedrock Knowledge Bases for RAG (Retrieval-Augmented Generation). Create knowledge bases with vector stores, ingest data from S3/web/Confluence/SharePoint, configure chunking strategies, query with retrieve and generate APIs, manage sessions. Use when building RAG applications, implementing semantic search, creating document Q&A systems, integrating knowledge bases with agents, optimizing chunking for accuracy, or querying enterprise knowledge. Source: adaptationio/skrillz.

How do I install bedrock-knowledge-bases?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/adaptationio/skrillz --skill bedrock-knowledge-bases Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/adaptationio/skrillz