๐ Industry Side Chat: MongoDB Flexible Database Schema, Time Series, Atlas Vector Search RAG๐
Danny Chan
Posted on August 7, 2024
Use Case 1: Healthy Lifestyle Platform ๐ช
Cure.fit:
- Handle spikes in traffic ๐
- Delivering unique content based on user's regions ๐
- Personalized experience on pages (merchandising) ๐
Challenge:
- Capture different data across user segments ๐
- Personalized content ๐ฏ
- Three-layer architecture:
- Backend: MongoDB Atlas ๐๏ธ
- Middle: API layer ๐
- Front: Microservices ๐งฑ
Solution:
- MongoDB Flexible Database Schema ๐
- Capture a wide range of data (web forms, tracking customer usage) ๐
- Organize diverse data ๐๏ธ
MongoDB Features:
- Cross-region replication ๐
- ACID transactions ๐
- Read-heavy workloads amongst different nodes ๐ป
- Transactions across multiple collections ๐
- https://www.mongodb.com/solutions/customer-case-studies/curefit ๐
Use Case 2: Turn Asset Data into Value ๐ฐ
Digitread Connect: Industrial IoT-as-a-Service ๐
Challenge 1:
- Data from sensors across industry verticals, machinery, industrial assets ๐ค
- Analysis process ๐
- Client end-users: engineers, service technicians, surveyors, farmers ๐จโ๐ง
Challenge 2:
- Collecting data to useful deliverable ๐
- Extract data from microcontrollers or programmable logic controllers ๐
- Analyze data, necessary data to cloud ๐ป
- IoT platform, edge & application side ๐
Solution: MongoDB Time Series Data:
- Industrial mechanized, robotic environments ๐ค
- Track equipment activity, performance ๐
- Analyzed and filtered, only keep useful data, upload to relevant application ๐พ
Use Case 3: Ideal Customer Profiles (ICP) ๐ฏ
Scalestack:
- Connect go-to-market (GTM) data to customers' Ideal Customer Profiles (ICP) ๐ค
Challenge:
- Sales engineers waste time reconciling data ๐ป
Solution:
- MongoDB Atlas Vector Search ๐
- Retrieval-Augmented Generation (RAG) ๐ค
- Searches over large datasets using vector similarity ๐ง
- Aggregate, manage, and automate disparate GTM (go to market) data sets ๐
- Aggregate and understand a variety of data from different sources ๐๏ธ
- Help sales to create scenario-specific strategies ๐ง
Details:
- Connect LinkedIn, Crunchbase, Zoominfo, job postings ๐
- Connect customer info, company facts, news, and job openings ๐
- Connect lead generation forms ๐
- Create personalized suggestion, prioritized actions for user to boost sales ๐ฐ
Reference:
capture and analyze data on edge device
https://www.mongodb.com/solutions/customer-case-studies/digitread-connect
Atlas Vector Search, Amazon Bedrock
https://www.mongodb.com/solutions/customer-case-studies/scalestack
Editor
Danny Chan, specialty of FSI and Serverless
Kenny Chan, specialty of FSI and Machine Learning
Posted on August 7, 2024
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