Скачать или смотреть RAG TimeSeriesDB AIOps App: Querying & Format Influx DB Data for Prompt Creatiion for LLMs | Part23

🧠 Welcome to Part 23 of our RAG Series! We're pushing the boundaries of our multi-source RAG AI application beyond static documents and databases to integrate dynamic, real-time knowledge from Time-Series Databases (TSDBs) like InfluxDB. Building on our explanation of why time-series data requires a different RAG approach (Part 22) and setting up InfluxDB with data (Part 21), we now tackle the crucial step of querying InfluxDB from Python and formatting the results for our Large Language Model.

In this video, We are extracting & formating TIMESERIES data for Payment Service api latency to build prompt for LLMs to help System monitoring, Automated Insights, Enhanced Decision making. This will help Site Reliability Engineers who are interested in knowing system performance especially for API latency Cause, probablity of occuring and other performance issues related to latency. This step-by-step tutorial is perfect for developers and data enthusiasts aiming to harness the power of time-series databases with RAG powered AI application to make intellignet decision way ahead of time.

🔧/📦 We'll cover:
✅ Setting up and configuring InfluxDB for time-series data.
✅ Implements robust health checks with retry logic to handle transient network issues.
✅ Executes Flux queries to retrieve specific time-series data (like payment service API latency) and analyzes monitoring data.
✅ Formatting data outputs for seamless integration with Large Language Models (LLMs) to Leverage RAG techniques to enhance AIOps capabilities

This is the start of building a truly intelligent AI application that can reason over time-sensitive data! We have copy of real time data for payment service with regular spikes so now we need to do most challenging & interesting part to integrate with RAG powered AI Application to do not only System monitoring but also help SREs or concerned group aware with intelligent patterns, trends about stored timeseries data for services.

👍 If this video helps you understand querying and formatting InfluxDB data for LLMs, please give it a thumbs up, share it, and subscribe for the next part where we build the natural language handler!

TimeSeries Database : InfluxDB Tutorial With Binary Installation -    • InfluxDb with Grafana Tutorial  
TimeSeries Database : InfluxDB V2 Tutorial With Docker :    • TimeSeries Database : InfluxDB Tutorial  

🔄 RAG Series Playlist: [Link to your Full RAG Playlist Here]
Part1 (Theory & Concepts) 👉    • How to Build an AI App with RAG in Python ...  
Part2 (Env Setup) 👉    • RAG Explained Simply: Fixing LLM Problems ...  
Part3 (PDF to Vector DB) 👉    • Load PDFs into Vector Database (PineCone D...  
Part4 (Console RAG Code) 👉    • Build RAG AI Agent | Question→ SearchDocum...  
Part5 (Streamlit vs Gradio) 👉    • Build RAG Chain | Streamlit vs Gradio for ...  
Part6 (Console App to Interactive Web App) 👉    • Build RAG AI App with Gradio UI | Refactor...  
Part7 (Upload PDF & Ask Question From Loaded PDF) 👉    • Build RAG AI App|Upload PDF, Ask Question ...  
Part8 (Summarization & Suggestion for 5 Questions) 👉    • Build RAG AI App | Summarization & Suggest...  
Part9 (Fixing Vector Similarity Limitations with RERANK Models) 👉    • Build RAG AI App| Why RERANK is Critical i...  
Part10 (RERANK Model Integration with Pinecone To Fine-Tuning RAG Retrieval Quality) 👉    • Build RAG AI App| RERANK Model Integration...  
Part11 (Extract data from Web Search (URL) for RAG powered AI app ) 👉    • 🧠 RAG AI App Upgrade : From PDF to Web Sea...  
Part12 (Integrate Knowledge from Relational DB along with PDF & URL data ) 👉    • 🧠 RAG AI App Upgrade : Integrate Knowledge...  
Part13 (POSTGRESQL - Setup & Load 733 Questions/Answers for 50 Topics of System Design) 👉    • RAG AI App | POSTGRESQL - Setup & Load 733...  
Part14 (Integrate PostgreSQL Database as LLM Knowledge Base for system design concepts) 👉    • RAG Powered AI App : Integrate PostgreSQL ...  
Part15 (MongoDB - Setup & Load data) 👉    • RAG Powered AI App | Adding MongoDB along ...  
Part16 (Refactored Code) 👉    • Refactoring RAG AI App Code Base for Futur...  
Part17 (Integrate MongoDB Database as LLM Knowledge Base for system design concepts) 👉    • RAG Powered AI App : Integrate MongoDB as ...  
Part18 (Integrate CSV Data as LLM Knowledge Base for system design concepts) 👉    • RAG Powered AI App : Integrate CSV Data as...  
Part19 (Integrate Restful API as LLM Knowledge Base for real time dynamic data source) 👉    • RAG Powered AI App: Integrate REST API As ...  
Part20 (Integrate Restful API Line by Line Code Explanation) 👉    • RAG Powered AI App:How To Integrate REST A...  
Part21 (Integrate TimeSeries Database InfluxDB) 👉    • RAG Powered AI: Intro to TimeSeriesDB Infl...  
Part22 (Load TimeSeries Data TO InfluxDB) 👉    • RAG AI APP TimeSeriesDB: Setup InfluxDB, L...  

#RAG #InfluxDB #Flux #Python #TimeSeries #DataFormatting #Querying #LLM #GenAI #AIOps #Monitoring #Executor #Tutorial #CodeWalkthrough #TechExplained #ragseries #ragtutorial #influxdbclient #pythoncoding #dataengineering #promptengineering