Immutable Crypto Knowledge Topic Generator

Muhammad Sohaib

Muhammad Sohaib Amin

Immutable Crypto Knowledge Topic Generator

An automated N8N workflow that continuously compiles core crypto concepts into a vector database for long-term AI use.

Project Discription

This agent fetches immutable, evergreen crypto knowledge from a Google Sheet on a recurring schedule. It gathers fundamental concepts such as candlestick patterns, chart structures, technical/fundamental/sentiment analysis, and the foundational mechanics of blockchain and crypto markets. The purpose is to build a stable, unchanging vector database that other AI agents can rely on for context, reasoning, and deeper analysis—especially in news and market-analysis workflows.

Project Overview

Running every 2–3 minutes, the workflow retrieves rows containing static crypto knowledge and pushes them into a Pinecone vector database. This creates a permanent, structured knowledge backbone with essential crypto principles. These embeddings support other agents—like news agents or chart-analysis agents—by giving them foundational understanding without needing long prompts or repeated instructions.
HIGHLIGHTS: • Scheduled retrieval of immutable crypto knowledge topics • Covers fundamentals: patterns, indicators, sentiment, blockchain basics • Continuous update into a Pinecone vector database • Designed as a backend knowledge layer for larger agents • Reduces prompt size and increases reasoning accuracy for external workflows

Completion Date:

November 26, 2025

Project Type:

Automation

Tool Used:

N8N

Price:

$250 – $400

Retainer:

$50 – $90

Impact Breakdown

A clear look at the problem, the system we built, and the measurable results it delivered.

The Problem

The client lacked a consistent, reusable knowledge source for crypto fundamentals, causing bloated prompts and inaccurate analysis across multiple agents. There was no centralized backbone for reusable concepts.

What We Built

We built a scheduled N8N workflow that compiles evergreen crypto concepts and pushes them into a Pinecone vector database, creating a stable knowledge base that other agents can reference for accurate context and interpretation.

The Outcome

Other agents now operate with greater accuracy, consistency, and reasoning depth, using the vector database instead of repeated prompts. This reduced token usage, improved contextual understanding, and created a scalable knowledge backbone for all crypto-related automations.
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Posted Nov 29, 2025

Automated workflow for compiling crypto concepts into a vector database for AI use.