数据与研究

llm-context

brave/brave-sea…h-skills

USE FOR RAG/LLM grounding. Returns pre-extracted web content (text, tables, code) optimized for LLMs. GET + POST. Adjust max_tokens/count based on complexity. Supports Goggles, local/POI. For AI answers use answers. Recommended for anyone building AI/agentic applications.

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安装命令

npx skills add https://github.com/brave/brave-search-skills --skill llm-context

SKILL.md

LLM Context

Requires API Key: Get one at https://api.search.brave.com

Plan: Included in the Search plan. See https://api-dashboard.search.brave.com/app/subscriptions/subscribe

Brave LLM Context API delivers pre-extracted, relevance-ranked web content optimized for grounding LLM responses in real-time search results. Unlike traditional web search APIs that return links and snippets, LLM Context extracts the actual page content—text chunks, tables, code blocks, and structured data—so your LLM or AI agent can reason over it directly.

LLM Context vs AI Grounding

Feature LLM Context (this) AI Grounding (answers)
Output Raw extracted content for YOUR LLM End-to-end AI answers with citations
Interface REST API (GET/POST) OpenAI-compatible /chat/completions
Searches Single search per request Multi-search (iterative research)
Speed Fast (<1s) Slower
Plan Search Answers
Endpoint /res/v1/llm/context /res/v1/chat/completions
Best for AI agents, RAG pipelines, tool calls Chat interfaces, research mode

LLM Context

Requires API Key: Get one at https://api.search.brave.com

Plan: Included in the Search plan. See https://api-dashboard.search.brave.com/app/subscriptions/subscribe

Brave LLM Context API delivers pre-extracted, relevance-ranked web content optimized for grounding LLM responses in real-time search results. Unlike traditional web search APIs that return links and snippets, LLM Context extracts the actual page content—text chunks, tables, code blocks, and structured data—so your LLM or AI agent can reason over it directly.

LLM Context vs AI Grounding

Feature LLM Context (this) AI Grounding (answers)
Output Raw extracted content for YOUR LLM End-to-end AI answers with citations
Interface REST API (GET/POST) OpenAI-compatible /chat/completions
Searches Single search per request Multi-search (iterative research)
Speed Fast (<1s) Slower
Plan Search Answers
Endpoint /res/v1/llm/context /res/v1/chat/completions
Best for AI agents, RAG pipelines, tool calls Chat interfaces, research mode