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#RAG

Tutorials on integrating web scraping into RAG (Retrieval-Augmented Generation) pipelines: clean markdown extraction, token efficiency, and vector database ingestion.

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Tutorials

How to Give Your AI Agent Access to G2 Data

Learn how to connect your AI agent to public G2 review data using AlterLab's Extract API. Build pipelines for software comparison and competitor intelligence.

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How to Give Your AI Agent Access to Glassdoor Data

Connect your AI agent to publicly available Glassdoor data using structured extraction pipelines. Feed public salary and company data directly into your LLM.

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How to Give Your AI Agent Access to Trustpilot Data

Learn how to connect your AI agent to public Trustpilot data using structured extraction, headless browsers, and MCP to build reliable reputation pipelines.

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How to Give Your AI Agent Access to Indeed Data

Learn how to connect your AI agent to public Indeed data. Handle anti-bot protections, bypass rate limits, and extract structured job listings directly into your LLM pipeline.

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Reduce LLM Token Waste in RAG with Markdown

Stop wasting LLM tokens on raw HTML. Learn how to extract dynamically rendered web pages as clean Markdown for efficient, high-quality RAG pipelines.

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Optimizing AI Data Pipelines: JSON vs Markdown vs Text

Learn how to choose the right data format for LLM grounding and AI agents to minimize token costs and maximize extraction accuracy in your data pipelines.

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Integrating Live Scraping APIs into LangChain Agents

Learn how to build LangChain agents that fetch real-time web data using Python and web scraping APIs to handle headless rendering and anti-bot systems.

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Build an MCP Server for Real-Time LLM Web Scraping

Learn how to build a Model Context Protocol (MCP) server that grounds LLMs with real-time web data extraction while optimizing token usage.

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Connect Ollama to Live Web Data Using Markdown Extraction

Feed live web data to local LLMs via Ollama using headless browser extraction and token-efficient Markdown conversion for robust RAG pipelines.

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Scraping Authenticated Web Pages for RAG Pipelines

Learn how to inject session cookies and use headless browsers to reliably extract authenticated web data for your internal RAG and LLM pipelines.

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Build a Token-Efficient RAG Pipeline with pgvector & Markdown

Learn how to build a token-efficient RAG pipeline using PostgreSQL, pgvector, and Markdown web scraping to reduce LLM costs and improve response accuracy.

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Real-Time RAG: Updating Vector Databases via Webhooks

Keep RAG pipelines accurate by replacing batch jobs with event-driven scraping. Learn how to update vector databases instantly using webhooks and Python.

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