jide_tracc

4 ms·

1.
Building graph vector search using VectorETL(medium.com)
1 points by jide_tracc 2y ago|0 comments
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Building Enterprise AI Platforms from the Ground Up(medium.com)
2 points by jide_tracc 2y ago|0 comments
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Show HN: ETL Framework for Vector Databases (Open Source)(github.com)
2 points by jide_tracc 2y ago|0 comments
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Show HN: No-Code ETL Framework for Vector Databases(github.com)
11 points by jide_tracc 2y ago|0 comments
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We launched a no-code ETL framework for Vector databases (Open Source)(github.com)
2 points by jide_tracc 2y ago|1 comments
6.
by jide_tracc 2y ago
Hi all! The team at Context Data launched an open source no-code ETL framework for Vector databases. The framework allows devs to pull data from multiple sources, embed and write final data to multiple vector database/store targets usi
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No-Code ETL Framework for Vector Databases(github.com)
1 points by jide_tracc 2y ago|1 comments
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by jide_tracc 2y ago
We've open-sourced our no-code ETL framework for Vector Data processing to allow AI engineers seamlessly process data from multiple data sources to ALL MAJOR vector databases using just a config file. I'd love to get your feedback
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Architecting the Data Architect:Generative AI for Enterprise Data Modeling [video](youtube.com)
1 points by jide_tracc 2y ago|0 comments
10.
Architecting the Data Architect:Generative AI for Enterprise Data Modeling(youtube.com)
2 points by jide_tracc 2y ago|0 comments
11.
by jide_tracc 2y ago
About a month and a half ago, I was at the Netflix Data Engineering Open Forum where I presented some work that I've been doing on building a Data architect agent. I was reviewing the slides last night and decided to share them to the
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Automating the Data Architect – Generative AI for Enterprise Data Modeling [pdf](contextdata.nyc3.cdn.digitaloceanspaces.com)
2 points by jide_tracc 2y ago|1 comments
13.
Show HN: Context Data – ETL Platform for Generative AI Applications(contextdata.ai)
1 points by jide_tracc 2y ago|0 comments
14.
by jide_tracc 3y ago
After launching our MVP late last year, one of the most consistent feedback we got was around our transformations function where users complained about the clunkiness and the steep learning curve. After extensive interviews with our beta us
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We Configured DBT for Vector Databases(youtube.com)
1 points by jide_tracc 3y ago|1 comments
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by jide_tracc 3y ago
Building enterprise level RAG solutions take more than building the application but also building the data platform and infrastructure that the application has to depend upon
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Why Your RAG Application Needs ETL(medium.com)
1 points by jide_tracc 3y ago|1 comments
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by jide_tracc 3y ago
Thanks for the feedback! I'll explore this topic for upcoming articles for a deeper dive
19.
by jide_tracc 3y ago
Thanks for the feedback! I'll make this the topic of my next article and do a deeper dive on this
20.
by jide_tracc 3y ago
Thank you! That's a great idea. I created a discount coupon which is active for the next 5 days up until Jan 17th https://www.udemy.com/course/vector-databases-deep-dive/?cou...
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by jide_tracc 3y ago
There is but it's a udemy course unfortunately. I don't want to spam the group with links but the link is on the lat page of the document
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Vector Databases: A Technical Primer [pdf](tge-data-web.nyc3.digitaloceanspaces.com)
557 points by jide_tracc 3y ago|105 comments
23.
by jide_tracc 3y ago
A few months ago, I taught a class on Vector Databases for a TGE Data private client and then decided to record it into a short course for a wider audience. The course is a mix of theory and demos discussing some of the underlying concepts
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Building enterprise data architecture for iterative Generative AI apps(medium.com)
1 points by jide_tracc 3y ago|0 comments
25.
by jide_tracc 3y ago
Experienced Data Engineer & Architect Location: Chicago, IL Remote: Yes Willing to relocate: Yes Technologies: Python - Django - Scala - NodeJS - SQL - AWS - Docker - Azure - GCP - Neo4j - Snowflake - Pyspark - Tensorflow - Pytorch - Da
26.
by jide_tracc 3y ago
Location: Chicago, IL Remote: Yes Willing to relocate: Yes Technologies: - Python - Django - Scala - NodeJS - SQL - AWS - Docker - Azure - GCP - Neo4j - Snowflake - Pyspark - Tensorflow - Pytorch - Databricks - DBT - ML Ops Résumé/CV