Enhanced Haystack Indexing and Web Crawling

📅 2025-05-26 — Session: Enhanced Haystack Indexing and Web Crawling

🕒 03:50–04:40
🏷️ Labels: Haystack, Indexing, Web Crawling, Python, Automation
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The session aimed to enhance document indexing in Haystack and improve web crawling processes.

Key Activities

• Reviewed and compared different indexing methods in Haystack, focusing on index_structured_docs and adapt_scraped_docs.
• Conducted a systematic review to align JSON file structures with Haystack’s expected semantics.
• Modified a Python script to save scraped web pages as Markdown files, organized by subdomain.
• Developed a function index_saved_md_files() to integrate Markdown files into the Haystack pipeline.
• Provided instructions for running a Streamlit app and resolving Python errors related to Path.glob() and Git fetch function.
• Implemented and debugged web crawling functions using the Spider API.
• Proposed a web exploration strategy for positioning in the academic ecosystem.

Achievements

• Successfully aligned JSON structures for improved indexing.
• Enhanced web crawling scripts to save outputs in a more organized format.
• Developed a comprehensive strategy for web exploration and academic positioning.

Pending Tasks

• Further testing and validation of the new indexing and web crawling functions.
• Implementation of the proposed web exploration strategy.