Blog

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[2] Advanced RAG: Enhancing Retrieval with Parallel Queries and Reciprocal Rank Fusion

This blog explores advanced techniques in Retrieval-Augmented Generation (RAG), focusing on Parallel Query Retrieval and Reciprocal Rank Fusion (RRF) to boost retrieval quality. It provides practical implementation steps using LangChain and Qdrant to enhance document recall and ranking.

April 23, 2025

[3] Prompt Engineering: Mastering Chain-of-Thought, HyDE, and Step-Back Techniques

This blog explores advanced prompt engineering strategies—Chain-of-Thought, Step-Back Prompting, and HyDE (Hypothetical Document Embeddings)—to enhance reasoning and retrieval quality in LLMs. It offers practical examples, comparisons, and implementation steps to help developers build smarter, more context-aware AI systems.

April 23, 2025

[1] Introduction to RAG for beginners

Explore the fundamentals of RAG

April 23, 2025

[4] The need of Attention Mechanism

Understanding the Limitations of Traditional Models and the Rise of Attention

March 27, 2025

[3] Journey of a single token through the LLM Architecture

following a token as it moves through the LLM architecture. By doing so, we’ll uncover the inner workings of these powerful models.

March 18, 2025

[2] A Bird’s-Eye View of LLM Architecture

Go through the Architecture of LLMs

March 17, 2025

[1] What makes DeepSeek so special?

DeepSeek is redefining AI with its cost-efficient, open-source LLMs, leveraging innovative architectures, reinforcement learning, GPU optimizations, and model distillation. This blog explores how DeepSeek competes with industry giants like OpenAI, its strengths, weaknesses, and impact on AI development, along with comparisons to GPT-4 and LLaMA 2.

February 21, 2025

[1] Understanding Large Language Models (LLMs)

Explore the fundamentals of Large Language Models (LLMs), their architecture, scaling laws, emergent properties, and how they predict the next word.

February 20, 2025