andara-rag-search
Search the Andara Ionic RAG knowledge base (3,800+ records) for business intel, research, products, team, meetings, and any indexed content.
Best use case
andara-rag-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search the Andara Ionic RAG knowledge base (3,800+ records) for business intel, research, products, team, meetings, and any indexed content.
Teams using andara-rag-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/andara-rag-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How andara-rag-search Compares
| Feature / Agent | andara-rag-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search the Andara Ionic RAG knowledge base (3,800+ records) for business intel, research, products, team, meetings, and any indexed content.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Andara RAG Knowledge Search Use this skill when you need to find information about: - Team members, roles, responsibilities - Products, pricing, supplier details - Scientific research, water science, bioelectricity - Business structure, equity, governance - Meeting notes, action items, decisions - CMS pages, content, topic clusters - Orders, customers, revenue data - Any business intelligence question ## How to Use Run a PostgreSQL query against the `knowledge_base` table using the `bash` tool: ```bash psql "$DATABASE_URL" \ -c "SELECT content::text, source, data_type FROM knowledge_base WHERE content::text ILIKE '%SEARCH_TERM%' LIMIT 5;" ``` Replace `SEARCH_TERM` with the relevant keyword(s). ## Available Tables ### Core Data | Table | Description | Key Columns | |-------|-------------|-------------| | `knowledge_base` | RAG chunks (3,800+) | `content`, `source`, `data_type` | | `team_members` | Team roster (6 active) | `name`, `role`, `title`, `email`, `department`, `equity_percent` | | `team_meetings` | Meeting notes (5) | `title`, `date`, `summary`, `key_insights`, `decisions` | | `meeting_action_items` | Action items (32) | `title`, `assignee`, `status`, `priority`, `due_date` | | `team_goals` | Company goals (4) | `title`, `status`, `target_date`, `progress_percent` | ### CMS & Commerce | Table | Description | Key Columns | |-------|-------------|-------------| | `pages` | CMS pages (155) | `slug`, `title`, `content`, `zone`, `cluster_id`, `status` | | `products` | Products (2) | `name`, `price_cents`, `description`, `sku` | | `orders` | Orders (11) | `total`, `status`, `customer_name`, `created_at` | | `customers` | Customers (10) | `name`, `email`, `created_at` | | `clusters` | Topic clusters (20) | `name`, `slug`, `description` | ### Intelligence | Table | Description | |-------|-------------| | `rag_memory_objects` | Learned lessons & policies | | `science_articles` | Scientific content | | `newsletter_subscribers` | Email subscribers | ## Example Queries ### Find team member info ```bash psql "$DATABASE_URL" \ -c "SELECT name, title, department, equity_percent FROM team_members WHERE is_active = true;" ``` ### Search knowledge base ```bash psql "$DATABASE_URL" \ -c "SELECT LEFT(content::text, 300) as content, source FROM knowledge_base WHERE content::text ILIKE '%chris%' LIMIT 5;" ``` ### Get CMS page content ```bash psql "$DATABASE_URL" \ -c "SELECT slug, title, zone FROM pages WHERE status = 'published' ORDER BY slug LIMIT 20;" ``` ### Get revenue summary ```bash psql "$DATABASE_URL" \ -c "SELECT COUNT(*) as orders, SUM(total)/100.0 as revenue_eur, AVG(total)/100.0 as avg_order FROM orders;" ``` ### Get meeting action items by person ```bash psql "$DATABASE_URL" \ -c "SELECT title, status, priority, due_date FROM meeting_action_items WHERE assignee ILIKE '%chris%';" ``` ### Get page content by slug ```bash psql "$DATABASE_URL" \ -c "SELECT title, LEFT(content, 500) as content_preview FROM pages WHERE slug = '/ion/overview';" ``` ## Rules - Always use `LEFT(content::text, 300)` to truncate long content fields (content is jsonb, must cast to text) - Default LIMIT to 5-10 results to keep responses concise - Use `ILIKE` for case-insensitive text searches - Never INSERT, UPDATE, or DELETE — read-only access only - For questions about the website structure, query the `pages` table - For scientific questions, search `knowledge_base` WHERE `data_type = 'research'` OR search `science_articles`
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