download скачать Free download скачать : Udemy Vector Databases Fundamentals NEW
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:3.08 GB

Files Included :

1  Introduction - Course prerequisites and structure.mp4 (63.96 MB)
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1  Pinecone - Deep Dive.mp4 (38.75 MB)
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10  Section Summary.mp4 (23.38 MB)
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2  Create Pinecone Account & Dashboard Overview.mp4 (25.02 MB)
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3  Creating our Pinecone Index in Code.mp4 (31.51 MB)
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4  Upserting and Querying our Pinecone Index.mp4 (47.69 MB)
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5  Querying Pinecone Manually in the Dashboard.mp4 (25.85 MB)
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6  Using LangChain Pinecone Wrapper - Create Index and Upsert & Similarity Search.mp4 (97.6 MB)
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7  Creating a Retriever and Chain Objects & a LLM to get a Response.mp4 (72.68 MB)
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8  Clean up - Delete Pinecone Index.mp4 (15.46 MB)
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9  Challenge - Explore other Vector Database.mp4 (21.19 MB)
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1  Choosing the Right Vector Database - Comparison Tables.mp4 (71.27 MB)
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2  Which Database Should I Choose.mp4 (45.74 MB)
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3  Choosing the Right Database - Criterias.mp4 (83.28 MB)
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1  Congratulations and Next Steps.mp4 (71.01 MB)
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1  Introduction to Vector Databases - Full Overview.mp4 (85.44 MB)
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2  Why Vector Databases.mp4 (204.51 MB)
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3  Vector Databases - Benefits and Advantages.mp4 (57.46 MB)
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1  Traditional vs Vector Databases - Limitations and Challenges.mp4 (110.43 MB)
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2  Embeddings vs Vectors - Differences.mp4 (57.13 MB)
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3  Vector Databases - How They Work and Advantages.mp4 (61.38 MB)
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4  Vector Databases Use Cases.mp4 (100.77 MB)
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5  Vector and Traditional Databases - Summary.mp4 (9.86 MB)
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1  The Top 5 Vector Databases - Overview.mp4 (142.64 MB)
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2  Understanding LLM (Large Language Models).mp4 (29.21 MB)
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1  Development Environment Setup.mp4 (18.3 MB)
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10  Vector Databases Metrics and Data Structures.mp4 (73.11 MB)
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11  Section Summary.mp4 (13.87 MB)
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2  Setup VS-Code, Python and OpenAI API Key.mp4 (45.87 MB)
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3  Chroma Database workflow.mp4 (126.61 MB)
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4  Creating a Chroma Vector Database & Adding Documents & Querying them.mp4 (70.37 MB)
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5  Looping Through the Results & Showing Similarity Search Results.mp4 (54.75 MB)
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6  Chroma Default Embedding Function.mp4 (55.93 MB)
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7  Chroma Vector Database - Persisting Data and Saving.mp4 (86.07 MB)
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8  Creating an OpenAI Embeddings - Raw without Chroma.mp4 (74.29 MB)
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9  Using OpenAIs Embedding API to Create Embedding in Chroma.mp4 (97.27 MB)
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1  Vector Similarity Deep Dive - Cosine Similarity.mp4 (29.38 MB)
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2  Euclidean Distance - L2 Norm.mp4 (25.21 MB)
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3  Dot Product.mp4 (35.72 MB)
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4  Section Summary.mp4 (19.83 MB)
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1  Vector Databases and LLM - Deep Dive.mp4 (67.45 MB)
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2  Loading all Documents.mp4 (76.7 MB)
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3  Generating Embeddings from Documents & Insert then into Chroma Database.mp4 (91.62 MB)
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4  Getting the Relevant Chunks when Given a Query.mp4 (67.68 MB)
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5  Using OpenAI LLM to Generate Response - Full Flow.mp4 (74.7 MB)
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6  Section Summary.mp4 (26.23 MB)
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1  The LangChain Framework - Quick Overview.mp4 (42.04 MB)
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2  Getting started with LangChain and the OpenAIChat Wrapper.mp4 (51.82 MB)
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3  Loading Documents with LangChain Document Loader.mp4 (73.75 MB)
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4  Splitting the Documents with LangChain.mp4 (14.52 MB)
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5  Creating a Chroma Vector Database with LangChain.mp4 (48.46 MB)
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6  Getting the Response from the Model - the Complete WorkFlow.mp4 (94.42 MB)
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 https://rapidgator.net/file/1a166fa5306310499c81fe2285b77efa/Udemy_Vector_Databases_Fundamentals_NEW.part1.rar
https://rapidgator.net/file/6612df7def6c6281070d80dfa0ea61eb/Udemy_Vector_Databases_Fundamentals_NEW.part2.rar

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https://filestore.me/hbjr4vulg6ul/Udemy_Vector_Databases_Fundamentals_NEW.part2.rar