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SSSharad Singhmaking-ai-remember-like-humans.hashnode.devAug 29, 2025 · 6 min read

Understanding Memory in Humans, LLMs, and How mem0 Helps

Let’s begin with a simple question: What is memory? At its core, memory is the ability to retain information and recall it when required. For humans, this means remembering past experiences or facts. For Large Language Models (LLMs), “memory” works d...

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FHfakhir hassanfakhirblogs.ioAug 23, 2025 · 3 min read

Building a Real-Time PDF QA System with RAG, LangChain, Pinecone, and AWS

In today’s information-heavy world, professionals like lawyers, researchers, and analysts often deal with hundreds of pages of PDFs. Finding precise answers manually is time-consuming, and asking a standard LLM to summarize or answer can result in ge...

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SKShaim Khanusiyarag-for-smarter-llm.hashnode.devJun 12, 2025 · 5 min read

RAG with Reciprocal Rank Fusion

💡 Sometimes, a single search just isn’t enough.When users ask questions in different ways, RRF helps bring together the most relevant answers — even if the query is vague or phrased differently. 🧠 What is RRF (Reciprocal Rank Fusion)? Reciprocal ...

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MKMahesh Kunwarrag-a-beginner-guide.hashnode.devMay 10, 2025 · 3 min read

RAG: A Beginner's Guide to Retrieval-Augmented Generation

Have you ever asked a chatbot a question, only to get an outdated or made-up answer? Large Language Models (LLMs) like ChatGPT, Gemini, and Claude are very smart, but sometimes they're not up to date. Retrieval-Augmented Generation (RAG) solves this ...

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JSJaskamal Singhjassis-blog.hashnode.devMay 8, 2025 · 4 min read

HyDE (Hypythetical Document Embedding)

HyDE (Hypothetical Document Embedding) is a technique used in Retrieval-Augmented Generation (RAG) systems to improve document retrieval by generating a hypothetical document based on the user's query.Instead of directly using the user query for retr...

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#langchain-qdrant-rag

Explore Hashnode

Understanding Memory in Humans, LLMs, and How mem0 Helps

Building a Real-Time PDF QA System with RAG, LangChain, Pinecone, and AWS

RAG with Reciprocal Rank Fusion

RAG: A Beginner's Guide to Retrieval-Augmented Generation

HyDE (Hypythetical Document Embedding)

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