OCT 23, 2025

Building an Intelligent Q&A Dataset Generator with FAISS, Ollama, and LangChain: A Complete Guide

Data • AI • Research

In the rapidly evolving landscape of artificial intelligence and natural language processing, one of the most persistent challenges is obtaining high-quality training data. Whether you're fine-tuning a language model, building a RAG (Retrieval-Augmented Generation) system, or creating a domain-specific chatbot, you need question-answer pairs that are contextually rich, semantically coherent, and representative of your knowledge base.

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OCT 29, 2025

UnChat: Unlimited Context for SLM through Semantic Memory in Edge Computing Environments

SLM • VectorDB • Research

a novel architecture that enables Small Language Models (SLMs) with as few as 270 million parameters to maintain effectively unlimited conversation context through vector-based semantic memory retrieval. By combining Retrieval-Augmented Generation (RAG) with efficient similarity search using Approximate Nearest Neighbor (ANN) indexing, our system allows low-power, edge devices to engage in extended conversations without internet connectivity

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