Deepak AcharyaThe Real LLM Router: How NotDiamond Rewrites the Rules for LLM Routing and EfficiencyIn today’s rapidly evolving landscape of generative AI, every tech company strives to position itself as a leader in AI capabilities. With…Sep 15Sep 15
Deepak AcharyaMongoDB Atlas Meets Amazon Bedrock: Creating Effective RAG ApplicationsRecently, I attended a MongoDB session that emphasized why MongoDB should be used as a vector database. The typical generative AI stack…Jul 21Jul 21
Deepak AcharyaSimple Chat App with Mesop and llama_IndexIn the world of Python development, creating web applications has often required developers to navigate the complexities of JavaScript…Jun 16Jun 16
Deepak AcharyainPython’s GurusLangflow: A low code AI integration platformLangChain gives developers a framework to construct LLM‑powered apps easily. By providing modular components like prompt serializers…Jun 151Jun 151
Deepak AcharyaText Summarization with AWS BedrockIn the age of information overload, text summarization has become a crucial tool for quickly extracting key points from large bodies of…Jun 6Jun 6
Deepak AcharyaUnderstanding Slowly Changing Dimension (SCD) Type 1In the world of data warehousing and business intelligence, the concept of Slowly Changing Dimensions (SCD) is crucial. SCD refers to how…Jun 3Jun 3
Deepak AcharyaDatabase Query Agent and Summarization with CrewAI and Gemini ProThe revolution of generative AI has heralded a new era of possibilities across organizations, particularly with the emergence of agents…Jun 1Jun 1
Deepak AcharyaPython Copying Mechanisms: Shallow Copy vs. Deep Copy ExplainedAs a lifelong lover of mathematics, I recently delved into Python to solve the permutations of a string. During this exploration, I…May 24May 24
Deepak AcharyaPrompt EngineeringPrompt engineering is the art of asking the right question to get the desired output from an LLM. It enables direct interaction with the…Apr 13Apr 13