supabase-mcp enables the assistant to:

✨ Manage tables and fetch configurations
📊 Execute SQL queries and apply migrations
🚀 Deploy Edge Functions
🌳 Create and manage development branches
💻 Generate TypeScript types based on database schemas

@mgechev.bsky.social 's explanation about selectorless:

gist.github.com/mgechev/1cba...

These techniques work for any structured knowledge:

- Company documentation
- Product manuals
- Legal documents
- Technical specifications

Follow me for more on AI-assisted development!

Future directions:

- Multi-collection retrieval across documentation sources
- Adaptive retrieval strategies based on question type
- Token-based retrieval limits for efficiency
- Hierarchical document retrieval for context continuity

The 3-Step Method adds multi-query retrieval:

- Generate multiple variations of your question
- Retrieve docs across all query variations
- Consolidate the most helpful information
- Synthesize a comprehensive answer

The 2-Step Method separates retrieval from synthesis:

- First gather relevant documents
- Identify the most valuable chunks
- Generate focused responses from filtered context

Result: More precise, authoritative answers.

Basic RAG is just the beginning. In this article, I demonstrate how to move from simple queries to advanced retrieval methods that get more precise answers from technical documentation.

All techniques demonstrated using Angular docs, but applicable to any domain!