1 Introduction to Vector Database.mp4 (86.27 MB)
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2 Vectors and Embeddings.mp4 (40.74 MB)
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3 Explain Vector Database like I'm 5.mp4 (29.91 MB)
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1 Using Gemini Pro embedding model for chromaDB.mp4 (88.63 MB)
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1 Introduction to ChromaDB.mp4 (125.38 MB)
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2 Methods on collections.mp4 (60.64 MB)
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3 Storing The Matrix collections.mp4 (103.91 MB)
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4 Adding document associated embeddings.mp4 (95.87 MB)
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5 Query data with 'where' filter.mp4 (95.97 MB)
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1 ChromaDB + Langchain - QA on multiple documents - Part 1.mp4 (133.24 MB)
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2 ChromaDB + Langchain - QA on multiple documents - Part 2.mp4 (92.2 MB)
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1 setup database, and getting data from wikipedia.mp4 (83.94 MB)
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2 query stock companies data with filters.mp4 (87.46 MB)
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1 Storing Knowledgebase information with Duckdb+parquet.mp4 (60.69 MB)
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2 Running semantic searches with filters, use different embedding model.mp4 (67.49 MB)
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1 setup environment, data, chromadb database.mp4 (53.22 MB)
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2 Image search using embedding model.mp4 (83.11 MB)
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3 Finding items within an image using model.mp4 (78.38 MB)
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4 Using metadatas to enhance your queries.mp4 (54.76 MB)
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1 Query FED Speech data with local vectorDB, OpenAI and Langchain.mp4 (119.79 MB)
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1 ChromaDB + Langchain to summarize a PDF document - Part 1.mp4 (71.72 MB)
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1 RAG on wikipedia articles using GPT 3 5 model.mp4 (107.37 MB)
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