Master Vector Database - ChromaDB

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Adnan Waheed

3:48:45

240 View

1. Introduction

1. Introduction to Vector Database.mp4

15:19

2. Vectors and Embeddings.mp4

09:58

3. Explain Vector Database like Im 5.mp4

04:56

2. ChromaDB

1. Introduction to ChromaDB.mp4

15:07

2. Methods on collections.mp4

08:08

3. Storing The Matrix collections.mp4

12:59

4. Adding document associated embeddings.mp4

10:59

5. Query data with where filter.mp4

09:44

Files.zip

3. Query multiple documents - ChromaDB + Langchain

1. ChromaDB + Langchain - QA on multiple documents - Part 1.mp4

16:27

2. ChromaDB + Langchain - QA on multiple documents - Part 2.mp4

10:06

Files.zip

4. Store and Query Stock Companies Data

1. setup database, and getting data from wikipedia.mp4

09:49

2. query stock companies data with filters.mp4

09:55

Files.zip

5. Semantic Search, Duckdb+parquet with ChromaDB

1. Storing Knowledgebase information with Duckdb+parquet.mp4

07:50

2. Running semantic searches with filters, use different embedding model.mp4

08:12

Files.zip

6. Multimodal image embedding search

1. setup environment, data, chromadb database.mp4

07:57

2. Image search using embedding model.mp4

08:41

3. Finding items within an image using model.mp4

07:24

4. Using metadatas to enhance your queries.mp4

05:15

Files.zip

7. Local Vector Database with ChromaDB + langChain + OpenAI

1. Query FED Speech data with local vectorDB, OpenAI and Langchain.mp4

14:10

Files.zip

8. Streamlit + ChromaDB + LangChain - Summarize any document

1. ChromaDB + Langchain to summarize a PDF document - Part 1.mp4

11:53

Files.zip

9. RAG with ChromaDB and OpenAIGPT model

1. RAG on wikipedia articles using GPT 3.5 model.mp4

11:45

Files.zip

10. ChromaDB with Gemini Pro embedding model

1. Using Gemini Pro embedding model for chromaDB.mp4

12:11

Files.zip

11. Congratulations and Thank You!

1. Your feedback is very valuable!.html

Description

ChromaDB methods, collections, query filter, langchain, RAG, semantic search and much more.

What You'll Learn?

Learn integration Vector databases with LangChain, Open AI
Master Embeddings
Transformer Models for vector embedding, Generative AI, Open AI API Usage
Understand the fundamentals of vector databases and their role in AI, generative AI, and LLM (Language Model Models)
Implement code along exercises to build and optimize vector indexing systems for real-world applications

Who is this for?

Anyone who want to explore the world of AI and Vector Database

Anyone who want to step into Vector Database world with practical learning

Data engineers, database administrators and data professionals curious about the emerging field of vector databases

Software developers interested in integrating vector databases into their applications.

What You Need to Know?

Basic Python programming knowledge

Desire to learn and excel more

More details

Description
Welcome to the Master Vector Database course - ChromaDB!
Are you ready to unlock the power of ChromaDB and take your data handling skills to the next level? Look no further! This course is designed to equip you with all the tools and techniques you need to become a master of vector databases.
In this course, you'll dive into the fascinating world of ChromaDB, starting with an introduction that will lay the foundation for your journey. From there, you'll learn various methods on how to efficiently manage collections and add document-associated embeddings.

But that's just the beginning! Ever struggled with querying data effectively? Not anymore! We'll teach you how to query data with precision using filters like 'where' and even delve into querying multiple documents using the powerful Langchain + ChromaDB combination.

And it doesn't stop there! Get ready to explore advanced topics such as storing and querying stock companies data, semantic search using duckdb+parquet, and even mastering multimodal image embedding search techniques.

But wait, there's more! Ever wanted to perform local vector database searches seamlessly? We'll show you how it's done using the dynamic trio of ChromaDB, Langchain, and OpenAI.

And that's not all! Brace yourself for an exciting exploration into the world of RAG with ChromaDB and OpenAI/GPT Model integration, as well as leveraging ChromaDB with Gemini Pro embedding model.

So, if you're ready to elevate your skills, expand your knowledge, and become a true expert in vector databases, then this course is tailor-made for you. Don't miss out on this incredible opportunity to become a master of ChromaDB.

Enroll now and let's embark on this exhilarating journey together!
Who this course is for:
Anyone who want to explore the world of AI and Vector Database
Anyone who want to step into Vector Database world with practical learning
Data engineers, database administrators and data professionals curious about the emerging field of vector databases
Software developers interested in integrating vector databases into their applications.

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Database Programming

Adnan Waheed

Instructor's Courses

Hello Everyone, I am an entrepreneur, a deliverer, a dreamer, a believer, a darer and a doer. I had worked in Bloomberg for 17 years, and build, manage, and lead several projects and team on global basis. After Bloomberg, had build my own companies like KlickAnalytics, ClickAPIs, ZoomMarkets providing global financial markets analytics with tera bytes data on cloud servers.I've worked extensively with PHP, Python, Angular, Rest APIs, Cloud systems, time series database, financial data analytics, UNIX systems, MongoDB, PostgreSQL, and advanced system architecture design and more.My utmost passion is the invention, innovation, changing paradigms, game-changing disruptions, people, personal development and the true adventures of life. Master the getting the job done well.My Motto: Change the Game!

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