databricks

NOVEMBER 21, 2023

We recently announced our AI-generated documentation feature, which uses large language models (LLMs) to automatically generate documentation for tables and columns in Unity.

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Analytics Vidhya

APRIL 12, 2024

RAG is replacing the traditional search-based approaches and creating a chat with a document environment. The biggest hurdle in RAG is to retrieve the right document. Only when we get […] The post Enhancing RAG with Hypothetical Document Embedding appeared first on Analytics Vidhya.

Analytics 319

Analytics Analytics Python AI 319

KDnuggets

DECEMBER 21, 2023

The blog covers methods for representing documents as vectors and computing similarity, such as Jaccard similarity, Euclidean distance, cosine similarity, and cosine similarity with TF-IDF, along with pre-processing steps for text data, such as tokenization, lowercasing, removing punctuation, removing stop words, and lemmatization.

Data Science 356

Data Science 356

Analytics Vidhya

SEPTEMBER 24, 2023

Introduction In the world of information retrieval, where oceans of text data await exploration, the ability to pinpoint relevant documents efficiently is invaluable. Traditional keyword-based search has its limitations, especially when dealing with personal and confidential data.

Analytics 348

Analytics Analytics Data Analysis Data Analysis 348

Hacker News

MARCH 20, 2025

We introduce SmolDocling, an ultra-compact vision-language model targeting end-to-end document conversion. Our model comprehensively processes entire pages by generating DocTags, a new universal markup format that captures all page elements in their full context with location.

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Analytics Vidhya

SEPTEMBER 5, 2024

Enter Multi-Document Agentic RAG – a powerful approach that combines Retrieval-Augmented Generation (RAG) with agent-based systems to create AI that can reason across multiple documents.

Artificial Intelligence 271

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Analytics Vidhya

JULY 15, 2024

Integrating with various tools allows us to build LLM applications that can automate tasks, provide […] The post What are Langchain Document Loaders? appeared first on Analytics Vidhya.

Analytics 286

Analytics Analytics Deep Learning Deep Learning 286

Analytics Vidhya

MARCH 10, 2024

But what if you could have a conversation with your documents and images? PopAI makes that a […] The post Talk to Your Documents and Images: A Guide to PopAI’s Features appeared first on Analytics Vidhya.

Analytics 306

Analytics Analytics Data Visualization Artificial Intelligence 306

Analytics Vidhya

JULY 27, 2024

This is where the term frequency-inverse document frequency (TF-IDF) technique in Natural Language Processing (NLP) comes into play. Introduction Understanding the significance of a word in a text is crucial for analyzing and interpreting large volumes of data. appeared first on Analytics Vidhya.

Natural Language Processing 312

Natural Language Processing Analytics Analytics Python 312

insideBIGDATA

FEBRUARY 26, 2025

models include: A new vision language model (VLM) for document understanding tasks that IBM said demonstrates performance that matches or exceeds that of significantly larger models IBM (NYSE: IBM) today announced additions to its Granite portfolio of large language models intended to deliver small, efficient enterprise AI.

AI 402

AI AI 402

Analytics Vidhya

OCTOBER 30, 2024

Imagine trying to navigate through hundreds of pages in a dense document filled with tables, charts, and paragraphs. Finding a specific figure or analyzing a trend would be challenging enough for a human; now imagine building a system to do it.

Analytics 245

Analytics Analytics AI AI 245

Towards AI

FEBRUARY 25, 2025

In my previous blog, I explored building a Retrieval-Augmented Generation (RAG) chatbot using DeepSeek and Ollama for privacy-focused document interactions on a local machine here. Image generated using napkin.ai Now, Im elevating that concept with an Agentic RAG approach powered by CrewAI.

Python 94

Python AI AI Data Science 94

Analytics Vidhya

MARCH 31, 2025

RAG combines the power of document retrieval with the […] The post Top 13 Advanced RAG Techniques for Your Next Project appeared first on Analytics Vidhya. And how do we keep it from confidently spitting out incorrect facts? These are the kinds of challenges that modern AI systems face, especially those built using RAG.

Analytics 214

Analytics Analytics AI AI 214

Analytics Vidhya

MARCH 29, 2025

Imagine an AI that can write poetry, draft legal documents, or summarize complex research papersbut how do we truly measure its effectiveness? As Large Language Models (LLMs) blur the lines between human and machine-generated content, the quest for reliable evaluation metrics has become more critical than ever.

Analytics 199

Analytics Analytics AI AI 199

Analytics Vidhya

NOVEMBER 18, 2024

Have you ever been curious about what powers some of the best Search Applications such as Elasticsearch and Solr across use cases such e-commerce and several other document retrieval systems that are highly performant? Apache Lucene is a powerful search library in Java and performs super-fast searches on large volumes of data.

Analytics 223

Analytics Analytics Data Mining Data Mining 223

Analytics Vidhya

DECEMBER 21, 2024

It is one thing to detect text on images on documents and another thing when the text is in an image on a person’s T-shirt. Scene text recognition (STR) continues challenging researchers due to the diversity of text appearances in natural environments.

Analytics 224

Analytics Analytics AI AI 224

Flipboard

MARCH 6, 2025

On Thursday French large language model (LLM) developer Mistral launched a new API for developers who handle complex PDF documents. Mistral OCR is an optical character recognition (OCR) API that can turn any PDF into a text file to make it easier for AI models to ingest. LLMs, which underpin popular

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AI AI Computer Science Computer Science 181

insideBIGDATA

OCTOBER 12, 2024

The solution ensures that AI models are developed using secure, compliant, and well-documented data. Alation Inc., the data intelligence company, launched its AI Governance solution to help organizations realize value from their data and AI initiatives.

Data Quality 365

Data Quality AI AI Data Governance 365

Data Science Dojo

NOVEMBER 8, 2024

Document Summarization LLaMA 3.1 Also learn about AI-powered document search Language Translation Services Translation services can use Llama 3.1 to translate complex legal documents, ensuring that the translated text maintains its original meaning and legal accuracy. For instance, a healthcare provider can use a LLaMA 3.1-powered

AI 397

AI AI 397

Flipboard

MARCH 11, 2025

For years, businesses, governments, and researchers have struggled with a persistent problem: How to extract usable data from Portable Document Format (PDF) files.

Data Analysis 174

Data Analysis Data Analysis Algorithm Machine Learning 174

KDnuggets

AUGUST 6, 2024

Learn statistics through interactive books, code examples, cheat sheets, guides, and tools documentation.

Data Science 366

Data Science 366

Analytics Vidhya

JUNE 24, 2024

Introduction Microsoft Research has introduced a groundbreaking Document AI model called Universal Document Processing (UDOP), which represents a significant leap in AI capabilities.

Analytics 319

Analytics Analytics AI AI 319

Flipboard

NOVEMBER 19, 2024

A common adoption pattern is to introduce document search tools to internal teams, especially advanced document searches based on semantic search. In a real-world scenario, organizations want to make sure their users access only documents they are entitled to access. The following diagram depicts the solution architecture.

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Data Science Dojo

DECEMBER 6, 2023

This process is typically facilitated by document loaders, which provide a “load” method for accessing and loading documents into the memory. This involves splitting lengthy documents into smaller chunks that are compatible with the model and produce accurate and clear results.

Database 370

Database Data Preparation Algorithm AI 370

Hacker News

JANUARY 30, 2025

They can act as a signature for the printer that law enforcement uses as document forensic evidence (like in. The layout of the dots are different between printer brands and some dont leave any at all. Information like serial number and sometime the print time is encoded in these dots.

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insideBIGDATA

SEPTEMBER 16, 2024

This new Audio Overview feature can turn documents, slides, charts and more into engaging two-party discussions with one click. Here is a an example of a wild new experimental feature from Google called NotebookLM. Two AI hosts start up a lively “deep dive” discussion based on your sources.

AI 408

AI AI Machine Learning Machine Learning 408

Analytics Vidhya

APRIL 30, 2024

Chat with Multiple Documents using Gemini LLM is the project use case on which we will build this RAG pipeline. Introduction Retriever is the most important part of the RAG(Retrieval Augmented Generation) pipeline. In this article, you will implement a custom retriever combining Keyword and Vector search retriever using LlamaIndex.

Analytics 318

Analytics Analytics Database AI 318

AWS Machine Learning Blog

APRIL 7, 2025

The following use cases are well-suited for prompt caching: Chat with document By caching the document as input context on the first request, each user query becomes more efficient, enabling simpler architectures that avoid heavier solutions like vector databases. Please follow these detailed instructions:" "nn1.

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Analytics Vidhya

JUNE 3, 2024

Evaluation ensures the RAG pipeline retrieves relevant documents, generates […] The post A Guide to Evaluate RAG Pipelines with LlamaIndex and TRULens appeared first on Analytics Vidhya. Over the past few months, I’ve fine-tuned my RAG pipeline and learned that effective evaluation and continuous improvement are crucial.

Analytics 318

Analytics Analytics Algorithm Python 318

databricks

OCTOBER 22, 2024

Over the years, organizations have amassed a vast amount of unstructured text data—documents, reports, and emails—but extracting meaningful insights has remained a challenge.

AI 344

AI AI 344

KDnuggets

AUGUST 5, 2024

Get noticed by recruiters and hiring managers by creating and documenting the following AI projects.

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AI AI 333

Flipboard

FEBRUARY 11, 2025

Large-scale data ingestion is crucial for applications such as document analysis, summarization, research, and knowledge management. These tasks often involve processing vast amounts of documents, which can be time-consuming and labor-intensive. This solution uses the powerful capabilities of Amazon Q Business.

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Analytics Vidhya

JULY 18, 2024

It stores data as documents, similar to JSON objects, allowing for complex structures like nested documents and arrays. It also reduces the need for joins with embedded documents and arrays. Introduction MongoDB is a NoSQL database offering high performance and scalability.

Database 291

Database Analytics Analytics 291

Analytics Vidhya

SEPTEMBER 29, 2023

From research papers in PDF to reports in DOCX and plain text documents (TXT), to structured data in CSV files, there’s […] The post How to Develop A Multi-File Chatbot? appeared first on Analytics Vidhya.

Data Analyst 343

Data Analyst Analytics Analytics Python 343

Analytics Vidhya

JANUARY 6, 2025

It combines document processing and web search integration to simplify information retrieval and analysis. With so much happening in the Generative AI space, the need for tools that can efficiently process and retrieve information has never been greater.

AI 208

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Data Science Dojo

SEPTEMBER 28, 2023

The data is converted into a simple document format that is easy for LlamaIndex to process. Our example code will illustrate the development of a PDF Q&A chatbot that incorporates the OpenAI language model, VectorStoreIndex for document indexing and Streamlit for user interface design.

Natural Language Processing 435

Natural Language Processing Database Data Science Analytics 435

Analytics Vidhya

JANUARY 23, 2024

Introduction Say goodbye to static documents and hello to real-time chats, shared annotations, and an all-new level of engagement. Whether you’re working on a team project or want to spice up your document discussions, these tools are your secret sauce for a more interactive and efficient PDF experience.

Analytics 319

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