develop-vector-db
CommunityTurn legal texts into searchable context.
Authors4a2z7
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides a complete guide to building a ChromaDB-backed vector store for a legal RAG pipeline. It enables embedding, indexing, and retrieval of statutes, precedents, and store policies to support evidence-based legal analysis.
Core Features & Use Cases
- ChromaDB-based vector store with persistent storage for laws, precedents, and store policies.
- Contextual chunking that preserves legal structure (articles, sections, rulings) into 500–1000 character chunks with 100–200 character overlap.
- Ingestion pipeline: fetch from law_api, clean HTML, chunk, and upsert into the correct collection with source metadata; supports deduplication.
- Query & retrieval: search across chunks to retrieve relevant context with a defined similarity threshold.
- Sync & maintenance: periodic data synchronization to keep the vector store up to date.
Quick Start
Initialize the ChromaDB client, chunk sample legal texts, and verify context-aware retrieval.
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: develop-vector-db Download link: https://github.com/s4a2z7/startup-legal-helper/archive/main.zip#develop-vector-db Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.