Overzicht cursussen Vector-databases
Doelgroep: Voor beginners..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
4 uur in totaal
Partner: Udemy
Instructeur:
Adnan Waheed
ChromaDB methods, collections, query filter, langchain, RAG, semantic search and much more..
Wat je leert: Learn integration Vector databases with LangChain, Open AI , Master Embeddings , Transformer Models for vector embedding, Generative AI, Open AI API Usage
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Wat je leert: Learn integration Vector databases with LangChain, Open AI , Master Embeddings , Transformer Models for vector embedding, Generative AI, Open AI API Usage
Doelgroep: Voor gevorderden..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
2 uur in totaal
Partner: Udemy
Instructeur:
Vijay Anand Ramakrishnan
Learn the basics of Qdrant (Vector Database), Indexing the data, snapshots, Python Client with examples and more !.
Wat je leert: Basics of Vector databases , Introduction to Qdrant and Installing Qdrant , Collections, Segments and Points in Qdrant
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Wat je leert: Basics of Vector databases , Introduction to Qdrant and Installing Qdrant , Collections, Segments and Points in Qdrant
Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
2 uur in totaal
Partner: Udemy
Instructeur:
Babajide Ogunjobi
Mastering Vector Databases: Fundamental Concepts to Advanced Applications in AI and Big Data.
Wat je leert: Understand the Principles and Mechanics of Vector Databases , Proficiency in Implementing Various Indexing Strategies , Apply Vector Databases in Real-world Scenarios
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Wat je leert: Understand the Principles and Mechanics of Vector Databases , Proficiency in Implementing Various Indexing Strategies , Apply Vector Databases in Real-world Scenarios
Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
9,5 uur in totaal
Partner: Udemy
Instructeur:
Manas Dasgupta
Develop RAG Applications using Open AI GPT APIs, LangChain LLM Framework and Vector Databases, includes Capstone Project.
Wat je leert: Fundamental of LLM RAG Application Development , LLM Frameworks with LangChain , Using Open AI GPT API to develop RAG Applications
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Wat je leert: Fundamental of LLM RAG Application Development , LLM Frameworks with LangChain , Using Open AI GPT API to develop RAG Applications
Doelgroep: Voor beginners..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
7,5 uur in totaal
Partner: Udemy
Instructeur:
Adnan Waheed
Master Vector Database using Python, Embeddings, Pinecone, ChromaDB, Facebook FAISS, Qdrant, LangChain, Open AI.
Wat je leert: Master Vector Database, Embeddings, ChromaDB, FAISS, Qdrant and much more , Learn integration Vector databases with LangChain, Open AI , Master Embeddings
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Wat je leert: Master Vector Database, Embeddings, ChromaDB, FAISS, Qdrant and much more , Learn integration Vector databases with LangChain, Open AI , Master Embeddings
Doelgroep: Voor gevorderden..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
1,5 uur in totaal
Partner: Udemy
Instructeur:
Vijay Anand Ramakrishnan
Learn the basics of Milvus (Vector Database), learn to work with Milvus using PyMilvus and more !.
Wat je leert: Basics of Vector databases , Introduction to Milvus and Installing Milvus , Collections, Partitions and Indexes in Milvus
Meer info
Wat je leert: Basics of Vector databases , Introduction to Milvus and Installing Milvus , Collections, Partitions and Indexes in Milvus
Doelgroep: Alle niveaus..
Type Opleiding: online/e-learning
Taal: Engels
Duur:
7 uur in totaal
Partner: Udemy
Instructeur:
Dr. KM Mohsin
Learn Vector Database using Python, Pinecone, LangChain, Open AI, Hugging Face and build out AI, ML , Chat applications.
Wat je leert: Pinecone Vector Database, LangChain, Transformer Models for vector embedding, Generative AI, Open AI API Usage, Hugging Face Models , Master the essential techniques for vector data embedding, indexing, and retrieval. , A Practical Code Along wi
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Wat je leert: Pinecone Vector Database, LangChain, Transformer Models for vector embedding, Generative AI, Open AI API Usage, Hugging Face Models , Master the essential techniques for vector data embedding, indexing, and retrieval. , A Practical Code Along wi