The Blog of Blogs

List of Links

• Slack Architecture
• G1GC
• Prompt Engineering White Paper

Growth Map - Non Checklist

🔭 Concepts to Explore Later

• Hybrid Search (Sparse + Dense Retrieval)
  Combine traditional keyword search (like TF-IDF/BM25) with embeddings for better relevance, especially in enterprise search.

• Vector Databases (FAISS, Pinecone, Weaviate, Milvus)
  Each has trade-offs in latency, scalability, and integrations. Worth exploring for hands-on projects.

• Document Chunking Strategies
  How to split large docs into semantically meaningful chunks before embedding — affects RAG accuracy.

• Embedding Refresh and Drift
  What happens when your source data changes? Techniques to manage stale embeddings in evolving systems.

• Cross-Lingual / Multilingual Embeddings
  Use models like LASER, LaBSE, or XLM-R to handle multilingual queries and documents in the same vector space.