vector-db-rag
CommunityStandardize RAG pipelines with pgvector.
Authorjota-batuta
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Standardizes end-to-end Retrieval Augmented Generation pipelines by providing a consistent approach to embeddings, chunking, and vector storage with multi-tenant isolation.
Core Features & Use Cases
- End-to-end RAG guidance for documents, code, and knowledge bases using pgvector.
- Multi-tenant isolation via Row-Level Security on embedding storage, with tenant-aware chunking and indexing.
- Hybrid semantic+keyword retrieval with configurable chunking strategies per document type and metrics tracking.
Quick Start
Instruct the system to configure and deploy a RAG pipeline with a PostgreSQL-backed vector store, including chunking, embedding, storage, retrieval, and evaluation.
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: vector-db-rag Download link: https://github.com/jota-batuta/batuta-dots/archive/main.zip#vector-db-rag Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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