rag-chatbot
CommunityRAG chatbots over your data with Elasticsearch
Authorkevinsweet
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Guides developers to build retrieval-augmented generation chatbots and Q&A systems using Elasticsearch as the retrieval backend, grounding responses in their own data and reducing hallucinations.
Core Features & Use Cases
- Provides a four-stage architecture (Chunk, Embed & Index, Retrieve, Generate) and practical guidance for chunking, embeddings, indexing, and querying.
- Supports chatbots, Q&A interfaces, and AI assistants that cite sources and reason over documents.
- Includes architectural patterns, language-agnostic examples, and best practices for production-grade RAG pipelines with Elasticsearch.
Quick Start
Describe your data and run a chatbot that uses Elasticsearch to retrieve and ground answers from your documents.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rag-chatbot Download link: https://github.com/kevinsweet/elastic-ide-context/archive/main.zip#rag-chatbot Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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