Building the Future with LLMs, LangChain, & Pinecone

Building the Future with LLMs, LangChain, & Pinecone

Pinecone via YouTube Direct link

Vector Database

21 of 27

21 of 27

Vector Database

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Building the Future with LLMs, LangChain, & Pinecone

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  1. 1 Intro
  2. 2 Pinecone
  3. 3 History of NLP
  4. 4 Transformers
  5. 5 NLP
  6. 6 Screenshots
  7. 7 Problems with Large Language Models
  8. 8 Growth of Large Language Models
  9. 9 LangChain
  10. 10 LangChain Overview
  11. 11 Modular Components
  12. 12 Chains
  13. 13 Prompt Templates
  14. 14 Agents
  15. 15 Memory
  16. 16 Building with Language Models
  17. 17 Deep Dive
  18. 18 The Problem
  19. 19 Retrievable Augmentation
  20. 20 Indexing
  21. 21 Vector Database
  22. 22 LangChain Components
  23. 23 LangChain Variants
  24. 24 Process Overview
  25. 25 Training Models on Proprietary Data
  26. 26 Python Text Splitter
  27. 27 Embedding Tools

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