+ a common misconception about RAG indexing!

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Daily Dose of Data Science | Avi Chawla | Substack

Sim is an open-source drag-and-drop platform for building agentic workflows that runs locally with any LLM. The article demonstrates building a finance assistant connected to Telegram using agents, MCP servers, and APIs. It also covers four RAG indexing strategies: chunk indexing (splitting documents into embedded chunks), sub-chunk indexing (breaking chunks into finer pieces while retrieving larger context), query indexing (generating hypothetical questions for better semantic matching), and summary indexing (using LLM-generated summaries for dense data).

A 100% Open-source Alternative to n8n!

A common misconception about RAG indexing

Yet another “open source” alternative to n8n; the “open source” alternative to Zapier.

I thought n8n was THE open source alternative for Zapier

I hate when “open source” projects depend on a closed-source service.