Agent skill · research science · aiskillstore
ai-rag-pipeline
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline
Why this skill is useful
Adds executable scripts for building RAG pipelines that integrate web search and LLMs, enhancing AI capabilities for research and fact-checking.
What it needs
Requires inference.sh installed locally. About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
AI RAG Pipeline Build RAG (Retrieval Augmented Generation) pipelines via inference.sh CLI. Quick Start Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available. What is RAG? RAG combines: 1. Retrieval: Fetch relevant information from external sources 2. Augmentation: Add retrieved context to the prompt 3. Generation: LLM generates response using the context This produces more accurate, up-to-date, and verifiable AI responses. RAG Pipeline Patterns Pattern 1: Simple Search + Answer Pattern 2: Multi-Source Research Pattern 3: Extract + Process Available Tools Search Tools Tool App ID Best For ------ -------- ---------- Tavily Search tavily/search-assistant AI-powered search with answers Exa Search exa/search Neural search, semantic matching Exa Answer exa/answer Direct factual answers Extraction Tools Tool App ID Best For ------ -------- ---------- Tavily Extract tavily/extract Clean content from URLs Exa Extract exa/extract Analyze web content LLM Tools Model App ID Best For ------- -------- ---------- Claude Sonnet 4.5 openrouter/claude-sonnet-45 Complex analysis Claude Haiku 4.5 openrouter/claude-haiku-45 Fast processing GPT-4o openrouter/gpt-4o General purpose Gemini 2.5 Pro openrouter/gemini-25-pro Long context Pipeline Examples Basic RAG Pipeline Multi-Source Research URL Content Analysis Fact-Checking Pipeline Research Report Generator Quick Answer with Sources Best Practices 1. Query Optimization 2. Context Management 3. Source Attribution Always ask the LLM to cite sources: 4. Iterative Research Pipeline Templates Agent Research Tool Related Skills Browse all apps: infsh app list Documentation Adding Tools to Agents - Agent tool integration Building a Research Agent - Full guide
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/ai-rag-pipeline