M Quamer Nasimquamernasim.hashnode.dev·Jul 24, 2024Mastering RAG: Choosing the Right Vector Embedding Model for Your RAG ApplicationRetrieval-Augmented Generation (RAG) applications are becoming increasingly popular as large language models (LLMs) improve. These applications combine retrieval and generation to provide accurate, contextually relevant responses. Validating and eval...DiscussRAG
Vansh Khanejavanshkhaneja.hashnode.dev·Jul 21, 2024Multi-Stage Vector Querying Using Matryoshka Representation Learning (MRL) in QdrantData retrieval is a critical component in the creation of an efficient Retrieval Augment Generation (RAG) application. The effectiveness of data retrieval directly impacts the performance, accuracy, and reliability of the application. There are vario...DiscussPython
arnav guptaarnavgupta1619.hashnode.dev·Jun 25, 2024Building a Resume Chatbot Using Qdrant, Wav2Lip and GroqIntroduction Creating a Resume Chatbot has always been an intriguing project for those passionate about combining natural language processing (NLP) and machine learning (ML) technologies. However, adding a layer of interactive, realistic lip synchron...DiscussAI
Ritobroto Sethrito.hashnode.dev·Jun 18, 2024Evaluating RAG with RagasThis blog post provides a technical guide to evaluating Retrieval Augmented Generation (RAG) pipelines using the Ragas framework. What Is the Ragas Framework? Ragas facilitates a comprehensive assessment of RAG pipeline performance by evaluating bot...Discuss·8 likes·149 readsLlamaIndex
M Quamer Nasimquamernasim.hashnode.dev·Jun 2, 2024Data Sovereignty in Vector Stores: A Deep Dive into Qdrant’s Hybrid CloudWith the rise of RAG applications in enterprises, data compliance has become a key matter of concern. Much of the data that powers enterprise RAG applications consists of sensitive information that comes with various compliance requirements. Therefor...Discussqdrant
Ritobroto Sethrito.hashnode.dev·May 28, 2024Building a Multi-Hop QA on Global Warming Using DSPy and QdrantIn this tutorial, we will explore the process of building a Multi-Hop question-answering system using DSPy. Our journey will involve leveraging Qdrant DB as the data source for our multi-hop QA. We will demonstrate how to load a PDF file, specificall...Discuss·15 likes·312 readsdspy
Ambarish Gangulyambarish.hashnode.dev·May 13, 2024Understanding BBC News Q&A with Advanced RAG and Microsoft Phi3In this blog, we would be doing question and answering on a news data feed. The blog has 2 parts Conceptual Implementation details which comes as expected with code as well as the full code link Please feel free to choose both or at lea...Discuss·2 likes·294 readsadvanced rag
Ritobroto Sethrito.hashnode.dev·May 6, 2024Building RAG in 2024 with Langchain, Groq, Llama3, and QdrantIn this blog, we will be going through the basics to advance of building RAG with Langchain. We will use Llama3 as our LLM model with the Groq API. What is Groq? Groq is an AI solutions company known for its cutting-edge technology, particularly the ...Discuss·4 likes·301 readsLlama3
M Quamer Nasimquamernasim.hashnode.dev·May 2, 2024Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChainIn today's digital era, where businesses are increasingly leveraging technology to enhance customer interactions, AI-powered chatbots have emerged as a game-changer. These chatbots can have a natural conversation with users, providing real-time suppo...Discuss·2 likesfasttext
Ritobroto Sethrito.hashnode.dev·Apr 16, 2024FeaturedSyncing Qdrant with Postgres Using Airbyte to Build RAG Applications over SQL DataOverview One of the major hurdles in building robust RAG applications is keeping the Vector Store consistently updated with the latest information. This is crucial because RAG models rely on this store to retrieve relevant context for generating accu...Discuss·24 likes·250 readsairbyte
