[Feature]: Quick Start with One API Key + Embedded DB

[Evenss]

Describe your use case

Lower First-Time Usage Barrier: One-Click API Key Integration with Popular LLMs/Embedders + Embedded Database Out of the Box

Description

To improve the onboarding experience for new users, we propose streamlining the initial setup process into a “configure-and-go” minimal mode. The following enhancements will significantly reduce the entry barrier:

Describe the solution you'd like

1. One-Click Configuration for Major LLM API Keys

Users simply provide a single API key (e.g., from OpenAI, Qwen, etc.), and the system automatically detects and enables the corresponding:

• LLM (for reasoning, generation, etc.)
• Embedder (for vectorization)

2. Preconfigured, High-Quality Default Model Pairs

For each supported platform (e.g., OpenAI, Qwen), the system includes validated default model combinations, such as:

• OpenAI: gpt-4o (LLM) + text-embedding-3-large (Embedder)
• Qwen: qwen-max (LLM) + text-embedding-v3 (Embedder)

Users don’t need to manually select models or understand technical differences—high-performance defaults work out of the box.

3. Embedded Database by Default (e.g., SQLite)

If no explicit configuration is provided, the system automatically uses a lightweight embedded database (e.g., SQLite or SeekDB in local mode) to store memories and vector data—eliminating the need to deploy external dependencies.

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Expected Outcomes

• New users: Complete full deployment and run all features within 5 minutes using just one API key.
• Developers / demo scenarios: Launch demos instantly without managing infrastructure.
• Reduced cognitive load: Complex configuration options are hidden by default; the preset path is robust and sufficient for most use cases, while advanced settings remain overrideable.

This mode will be offered as a “Quick Start” option and will not interfere with existing advanced users’ ability to customize their setups.

Describe alternatives you've considered

No response

Additional context

No response