Introduction To Qdrant (Vector Database) Using Python

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Introduction to Qdrant (Vector Database) Using PythonIntroduction to Qdrant (Vector Database) Using Python

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Introduction to Qdrant (Vector Database) Using Python.torrent
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8b6c836d63b142a1bf8f551c68514835c65cb21e
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788 MB in 48 files
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Uploaded on 21-03-2024 by our crawler pet called "Spidey".
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Description

[ DevCourseWeb.com ] Introduction to Qdrant (Vector Database) Using Python



If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com







Published 3/2024

Created by Vijay Anand Ramakrishnan

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 45m ) | Size: 787 MB



Learn the basics of Qdrant (Vector Database), Indexing the data, snapshots, Python Client with examples and more !



What you'll learn:

Basics of Vector databases

Introduction to Qdrant and Installing Qdrant

Collections, Segments and Points in Qdrant

Vector and payload fields in a Collection

Vector and Payload indexing

Vector similarity search on a Collection and filtering the results based on payload

Quantizing the vectors

Configuring Qdrant Server



Requirements:

Python

Fundamentals of Docker and Docker Compose

Basic Linux commands



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We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...



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Files in this torrent

FILENAMESIZE
~Get Your Files Here !/1. Introduction/1. Introduction.mp421.7 MB
~Get Your Files Here !/1. Introduction/2. Vector Databases.mp428.8 MB
~Get Your Files Here !/1. Introduction/3. Components of a Vector Databases.mp455 MB
~Get Your Files Here !/1. Introduction/4. Vector Embeddings.mp445.4 MB
~Get Your Files Here !/1. Introduction/5. Vector Embeddings.html133 B
~Get Your Files Here !/1. Introduction/6. Vector Similarity Metrics.mp445.7 MB
~Get Your Files Here !/1. Introduction/7. Vector Similarity.html133 B
~Get Your Files Here !/2. Qdrant - Basics/1. Introduction and Installation.mp466.6 MB
~Get Your Files Here !/2. Qdrant - Basics/1.1 docker-compose.yaml262 B
~Get Your Files Here !/2. Qdrant - Basics/10. Similarity Search - Part 1.html133 B
~Get Your Files Here !/2. Qdrant - Basics/11. Vector similarity search in Qdrant - Part 2.mp446.3 MB
~Get Your Files Here !/2. Qdrant - Basics/12. Similarity Search - Part 2.html133 B
~Get Your Files Here !/2. Qdrant - Basics/2. Qdrant Storage Model.mp414 MB
~Get Your Files Here !/2. Qdrant - Basics/3. Qdrant Storage Model.html133 B
~Get Your Files Here !/2. Qdrant - Basics/4. Collections.mp429.6 MB
~Get Your Files Here !/2. Qdrant - Basics/4.1 1.collections.ipynb5.3 KB
~Get Your Files Here !/2. Qdrant - Basics/5. Collections.html133 B
~Get Your Files Here !/2. Qdrant - Basics/6. Points.mp440.8 MB
~Get Your Files Here !/2. Qdrant - Basics/6.1 2.Points.ipynb11.4 KB
~Get Your Files Here !/2. Qdrant - Basics/7. Points.html133 B
~Get Your Files Here !/2. Qdrant - Basics/8. Loading a Dataset into Qdrant.mp417.9 MB
~Get Your Files Here !/2. Qdrant - Basics/9. Vector Similarity Search in Qdrant - Part 1.mp438.5 MB
~Get Your Files Here !/2. Qdrant - Basics/9.1 3.search.ipynb137.1 KB
~Get Your Files Here !/3. Qdrant - Advanced/1. Payload Indexes.mp424.3 MB
~Get Your Files Here !/3. Qdrant - Advanced/1.1 4.Indexes.ipynb4.4 KB
~Get Your Files Here !/3. Qdrant - Advanced/10. Configuring Qdrant.mp444.4 MB
~Get Your Files Here !/3. Qdrant - Advanced/11. Optimizers.mp425.7 MB
~Get Your Files Here !/3. Qdrant - Advanced/12. Qdrant - Async Python Client.mp421.6 MB
~Get Your Files Here !/3. Qdrant - Advanced/12.1 async_example.py546 B
~Get Your Files Here !/3. Qdrant - Advanced/2. Payload Indexes.html133 B
~Get Your Files Here !/3. Qdrant - Advanced/3. Vector Index.mp424.6 MB
~Get Your Files Here !/3. Qdrant - Advanced/4. Indexing the Vectors.html133 B
~Get Your Files Here !/3. Qdrant - Advanced/5. Vector Quantization - Part 1.mp425.7 MB
~Get Your Files Here !/3. Qdrant - Advanced/5.1 5.quantization.ipynb4.7 KB
~Get Your Files Here !/3. Qdrant - Advanced/6. Quantization - Part 1.html133 B
~Get Your Files Here !/3. Qdrant - Advanced/7. Vector Quantization - Part 2.mp428.3 MB
~Get Your Files Here !/3. Qdrant - Advanced/8. Vector Quantization - Part 2.html133 B
~Get Your Files Here !/3. Qdrant - Advanced/9. Snapshots.mp411.8 MB
~Get Your Files Here !/3. Qdrant - Advanced/9.1 6.snapshots.ipynb3.8 KB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/1. Qdrant + Tensorflow.mp441.3 MB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/1.1 7.tf_example.ipynb8.7 KB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/2. Qdrant + OpenAI.mp442.3 MB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/2.1 8.openai_example.ipynb9.8 KB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/3. Qdrant + LangChain.mp435 MB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/3.1 9.langchain_example.ipynb4.6 KB
~Get Your Files Here !/4. Qdrant - Examples (Optional)/3.2 nobel_physics_2023.txt2.2 KB
~Get Your Files Here !/5. Conclusion/1. Conclusion.mp412.2 MB
~Get Your Files Here !/Bonus Resources.txt386 B

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