genai-4-beginners
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genai-4-beginners
  • Contents
  • Chapter 1 - Foundations of GenAI
  • Chapter 2 - Models & Architectures
  • Chapter 3 - Model Providers (Expand your existing) Mistral
  • Chapter 4 - Ecosystem Tools & Frameworks
  • Chapter 5 - Memory & Agents
  • Chapter 6 - Infrastructures & Storage
    • Vector Databases (FAISS, Qdrant, Weaviate, Pinecone, Milvus)
    • Rerankers & Hybrid Search (BM25 + Embeddings)
    • Chunking Strategies for Documents
  • Chapter 7 - Ethics & Limitations
  • Chapter 8 - Use Cases & Applications
  • Chapter 9 - Evaluation & Testing
  • Chapter 10 - Trends & Future
  • Interview Questions
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Chapter 6 - Infrastructures & Storage

Vector Databases (FAISS, Qdrant, Weaviate, Pinecone, Milvus)chevron-rightRerankers & Hybrid Search (BM25 + Embeddings)chevron-rightChunking Strategies for Documentschevron-right
PreviousState Machines vs Event-Driven Agentschevron-leftNextVector Databases (FAISS, Qdrant, Weaviate, Pinecone, Milvus)chevron-right