implementing-rag
CommunityBuild knowledge-grounded AI.
Authorionmidori
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the creation of AI applications that can accurately answer questions and generate content by grounding responses in external knowledge sources, overcoming the limitations of a model's pre-trained data.
Core Features & Use Cases
- Vector Database Integration: Connects with popular vector stores like Pinecone and Chroma for efficient semantic search.
- Advanced Retrieval Strategies: Implements techniques such as Hybrid Search, Multi-Query Retrieval, and Contextual Compression to improve search accuracy.
- Use Case: Building a customer support chatbot that can answer complex product questions by retrieving relevant information from a company's knowledge base.
Quick Start
Use the implementing-rag skill to index the documents in the 'data/knowledge_base' directory into a Pinecone index named 'my-knowledge-index'.
Dependency Matrix
Required Modules
langchain-corelangchain-google-genailangchain-pineconelangchain-text-splitters
Components
scriptsreferences
💻 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: implementing-rag Download link: https://github.com/ionmidori/SYDBioedilizia/archive/main.zip#implementing-rag Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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