seekdb-docs

name	seekdb-docs
description	Provides documentation and knowledge for seekdb database. When users ask about seekdb topics, automatically locate relevant documentation through the catalog file (from github).
metadata	{"author":"demerzels-lab"}

seekdb Documentation Skill

This skill provides comprehensive documentation for the seekdb database. When users ask about seekdb-related topics, you should use the documentation catalog to locate and read the relevant documentation.

Documentation Access Strategy

This skill supports remote-only documentation access: the catalog and document files are fetched from GitHub.

Remote Documentation URLs

• Base URL: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/
• Catalog File: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
• Full Document URL: Base URL + File Path (from catalog)

How to Use This Skill

When a user asks about seekdb, follow these steps:

Step 1: Access the Documentation Catalog

1. Fetch the remote catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
2. If the request fails (network error, timeout, etc.), inform the user that the documentation is currently unavailable and suggest retrying later

The catalog contains:

• All documentation entries organized by category
• File paths for each documentation file
• Descriptions of what each document covers
• Quick reference section for common topics

Step 2: Match the Query to Documentation

Search through the catalog for entries whose Description matches the user's query. Look for:

• Exact keyword matches (e.g., "jina" → "Jina model integration")
• Related terms (e.g., "integration" → entries under "Model Platform Integrations", "Framework Integrations", etc.)
• Category matches (e.g., "vector search" → entries under "Vector Search" section)

The catalog is organized into these main categories:

• Get Started: Quick start tutorials and basic operations
• Development Guide: Vector search, hybrid search, AI functions, MCP server, multi-model data
• Integrations: Frameworks, model platforms, developer tools, workflows, MCP clients
• Guides: Deployment, management, security, OBShell, performance testing
• Reference: SQL syntax, PL, error codes, SDK APIs
• Tutorials: Step-by-step tutorials and scenarios

Step 3: Read the Documentation File

Once you've identified the matching entry, construct the full URL and fetch the document:

• Full URL = https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/ + File Path
• Example: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/200.develop/600.search/300.vector-search/300.vector-similarity-search.md

Fetch the document content from this URL to answer the user.

Examples

Example 1: Remote Access

User: "How do I use vector search in seekdb?"

Process:

1. Fetch remote catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
2. Find entries under "Vector Search" section
3. Fetch remote doc: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/200.develop/600.search/300.vector-search/100.vector-search-intro.md

Example 2: Overview Query

User: "What is seekdb?"

Process:

1. Fetch remote catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
2. Find entry under "Seekdb Overview"
3. Fetch remote doc: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/100.get-started/10.overview/10.seekdb-overview.md

Example 3: Subsequent Query in Same Conversation

User: "Now tell me about hybrid search" (Previous query in this conversation successfully used remote)

Process:

1. Already have the catalog from previous fetch
2. Find entries under "Hybrid Search" section from the catalog
3. Fetch remote doc: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/200.develop/600.search/500.hybrid-search.md

Example 4: Integration Query

User: "I want to integrate seekdb with jina"

Process:

1. Fetch remote catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
2. Find entry under "Model Platform Integrations": "Guide to integrating seekdb vector search with Jina AI..."
3. Extract file path: 300.integrations/200.model-platforms/100.jina.md
4. Fetch remote doc: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/300.integrations/200.model-platforms/100.jina.md

Guidelines

• Use remote (GitHub) only — fetch catalog and documents from the remote URLs; there is no local mode
• On fetch failure, inform the user that docs are temporarily unavailable and suggest retrying or checking network
• Match descriptions semantically - don't just look for exact keyword matches
• Use the Quick Reference section at the bottom of the catalog for common topics
• If multiple entries match, fetch all relevant files to provide comprehensive answers

URL Reference

Remote

• Catalog: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/450.reference/1600.seekdb-docs-catalog.md
• Base URL: https://raw.githubusercontent.com/oceanbase/seekdb-doc/V1.0.0/en-US/

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