Ravi Kant

....

[Anu Lall @anulall]

Do you agree??

[𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰 @techwith_ram]

RAG System
├── Data Ingestion
│ ├── PDF / DOCX / PPT / Notion / Web
│ ├── Chunking strategies
│ ├── Cleaning and deduplication
│ ├── Metadata tagging
│ └── Versioning

├── Embeddings
│ ├── OpenAI / Cohere / BGE / Instructor
│ ├── Vector normalization
│ ├── Domain adaptation
│ └── Re-embedding strategy

├── Vector Database
│ ├── Pinecone / Weaviate / Qdrant / FAISS
│ ├── Index types (HNSW, IVF, Flat)
│ ├── Filtering and metadata search
│ └── Sharding and scaling

├── Retrieval
│ ├── Semantic search
│ ├── Hybrid retrieval (BM25 + vector)
│ ├── Re-ranking (cross-encoders)
│ ├── Query rewriting
│ └── Multi-hop retrieval

├── Prompt and Context Engineering
│ ├── System, user and tool prompts
│ ├── Context window management
│ ├── Citation and grounding
│ ├── Answer style control
│ └── Safety and refusal rules

├── LLM Layer
│ ├── GPT / Claude / Mistral / Llama
│ ├── Temperature and decoding
│ ├── Function calling and tools
│ └── Cost and latency optimization

├── Generation
│ ├── Context injection
│ ├── Structured output (JSON)
│ ├── Multi-step reasoning
│ └── Tool-calling agents

├── Evaluation
│ ├── Retrieval metrics (Recall@K, MRR)
│ ├── Answer quality (faithfulness, relevance)
│ ├── LLM-as-a-Judge
│ └── Regression testing

├── Feedback Loop
│ ├── User ratings
│ ├── Click-through
│ ├── Failure logging
│ └── Data refresh triggers

├── Caching
│ ├── Query caching
│ ├── Embedding caching
│ └── LLM response caching

├── Security and Guardrails
│ ├── Prompt injection protection
│ ├── Data isolation
│ ├── PII filtering
│ └── Tool permissioning

├── Observability
│ ├── Token usage
│ ├── Latency per step
│ ├── Retrieval quality
│ └── Hallucination tracking

├── Orchestration
│ ├── LangChain / LlamaIndex / custom pipelines
│ ├── Async flows
│ └── Retry and fallback models

├── Infrastructure
│ ├── API gateway
│ ├── Vector DB hosting
│ ├── Model routing
│ └── Cost tracking

└── Programming Language
└── Python or TypeScript (start here)

AI generated !!

[Massimo @Rainmaker1973]

Yes: handwriting still matters.

A new study has confirmed that writing by hand activates far more complex and widespread neural networks in the brain than typing, underscoring its importance for learning and memory.

Researchers at the Norwegian University of Science and Technology used a high-density EEG cap with 256 electrodes to record brain activity in university students. They found that the intricate, sensory-rich movements involved in handwriting, especially cursive, trigger highly synchronized brain waves across extensive areas of the parietal and central regions. These coordinated patterns are strongly linked to memory formation, cognitive processing, and encoding new information.

In contrast, typing, which involves repetitive, simpler finger movements, produced significantly less neural connectivity and engagement. The difference was striking: the brain appears much less active during digital writing.

The researchers conclude that the unique motor and sensory experience of holding a pen plays a key role in brain development and learning. As a result, they argue that handwriting instruction should remain a core part of education to support deeper comprehension and cognitive growth in the next generation.

[ “Handwriting vs. Typing: A High-Density EEG Study on Brain Connectivity During Learning” — Norwegian University of Science and Technology (published in Frontiers in Psychology, 2025)]

[Abhinay Maths @abhinaymaths]

सरकारें सब एक सी होती हैं।
थोड़ा बहुत ही फर्क होता है
सत्ता का चरित्र एक सा होता है।
लेकिन बदलने की कोशिश कर रहे हैं।

फिर... कितना बदल पाई है अटल जी की पार्टी, सत्ता के चरित्र को? और वो बदलना, देश के हित में कितना है?

[Panchsheel Greens 2 Family @Greens2society]

समस्या बड़ी है हल कुछ भी नहीं। कैसे समाधान होगा? @PMOIndia @CMOfficeUP @OfficialGNIDA @myogiadityanath

[Abdul Shakoor @Cryptoskyy_]

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[Abdul Shakoor @Cryptoskyy_]

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[Abdul Shakoor @Cryptoskyy_]

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These exclusive rewards are available to all members community!

[Abdul Shakoor @Cryptoskyy_]

Ethereum’s progress is driven by long-term contributors who stayed engaged through multiple phases of the network.

This initiative is a modest acknowledgment of that commitment.

Watch the quick video guide to see how to join and claim your reward 👇