--- title: "AlterLab (@alterlab) | Hashnode" description: "Transforming the Web Into Data. Read the latest articles by AlterLab on Hashnode." url: "https://hashnode.com/@alterlab" --- @alterlab # AlterLab @alterlab · San Francisco, USA · Joined March 2026 Transforming the Web Into Data. [Website](https://alterlab.io/) ### [Agentic RAG vs Traditional RAG: Architecting Real-Time AI Data Pipelines](https://alterlab.hashnode.dev/agentic-rag-vs-traditional-rag-architecting-real-time-ai-data-pipelines?utm_source=hashnode&utm_medium=feed) Retrieval-Augmented Generation (RAG) solved the initial problem of LLM hallucinations by grounding models in factual data. But traditional RAG architectures share a fundamental flaw: they rely on static data. If you are building an AI agent for finan... 9 min read · [alterlab.hashnode.dev](https://alterlab.hashnode.dev/agentic-rag-vs-traditional-rag-architecting-real-time-ai-data-pipelines?utm_source=hashnode&utm_medium=feed) [May 11](https://hashnode.com/posts/agentic-rag-vs-traditional-rag-architecting-real-time-ai-data-pipelines/6a020e5fa78103c9c2e3b417) ### [RAG Pipelines: Why Markdown Extraction Beats HTML for Token Efficiency](https://alterlab.hashnode.dev/rag-pipelines-why-markdown-extraction-beats-html-for-token-efficiency?utm_source=hashnode&utm_medium=feed) Feeding raw HTML into a Retrieval-Augmented Generation (RAG) pipeline is computationally expensive and highly inefficient. Large Language Models (LLMs) operate on tokens, and HTML DOM structures are notoriously token-heavy. When you pipe raw HTML int... 6 min read · [alterlab.hashnode.dev](https://alterlab.hashnode.dev/rag-pipelines-why-markdown-extraction-beats-html-for-token-efficiency?utm_source=hashnode&utm_medium=feed) [1](https://hashnode.com/posts/rag-pipelines-why-markdown-extraction-beats-html-for-token-efficiency/6a00bb12455c25b5f737c056) [May 10](https://hashnode.com/posts/rag-pipelines-why-markdown-extraction-beats-html-for-token-efficiency/6a00bb12455c25b5f737c056) ### [How to Give Your AI Agent Access to Yahoo Finance Data](https://alterlab.hashnode.dev/how-to-give-your-ai-agent-access-to-yahoo-finance-data?utm_source=hashnode&utm_medium=feed) Financial AI agents need live market context. Historical training data isn't enough when users ask questions about current stock performance, breaking news, or recent earnings reports. Giving an AI agent programmatic access to Yahoo Finance data allo... 5 min read · [alterlab.hashnode.dev](https://alterlab.hashnode.dev/how-to-give-your-ai-agent-access-to-yahoo-finance-data?utm_source=hashnode&utm_medium=feed) [May 9](https://hashnode.com/posts/how-to-give-your-ai-agent-access-to-yahoo-finance-data/69ff21a65f85cef678dd321f) ### [How to Give Your AI Agent Access to Crunchbase Data](https://alterlab.hashnode.dev/how-to-give-your-ai-agent-access-to-crunchbase-data?utm_source=hashnode&utm_medium=feed) Disclaimer: This guide covers accessing publicly available data. Always review a site's robots.txt and Terms of Service before automated access. Do not attempt to access private, authenticated, or paywalled information. To give an AI agent reliable ... 9 min read · [alterlab.hashnode.dev](https://alterlab.hashnode.dev/how-to-give-your-ai-agent-access-to-crunchbase-data?utm_source=hashnode&utm_medium=feed) [May 9](https://hashnode.com/posts/how-to-give-your-ai-agent-access-to-crunchbase-data/69ff219deee12a2d38b04808) ### [How to Give Your AI Agent Access to Bloomberg Data](https://alterlab.hashnode.dev/how-to-give-your-ai-agent-access-to-bloomberg-data?utm_source=hashnode&utm_medium=feed) Disclaimer: This guide covers accessing publicly available data. Always review a site's robots.txt and Terms of Service before automated access. AI agents require access to real-time ground truth to generate accurate, timely outputs. For agents opera... 6 min read · [alterlab.hashnode.dev](https://alterlab.hashnode.dev/how-to-give-your-ai-agent-access-to-bloomberg-data?utm_source=hashnode&utm_medium=feed) [May 9](https://hashnode.com/posts/how-to-give-your-ai-agent-access-to-bloomberg-data/69ff21965f15f7357e3f8855)