Best AI tools for< Retrieve Context >

ExplainDev is a platform that allows users to ask and answer technical coding questions. It uses computer vision to retrieve technical context from images or videos. The platform is designed to help developers get the best answers to their technical questions and guide others to theirs.

SID is a data ingestion, storage, and retrieval pipeline that provides real-time context for AI applications. It connects to various data sources, handles authentication and permission flows, and keeps information up-to-date. SID's API allows developers to retrieve the right piece of data for a given task, enabling them to build AI apps that are fast, accurate, and scalable. With SID, developers can focus on building their products and leave the data management to SID.

Bloks is an AI-powered application designed to help users prepare for meetings by providing personalized briefs, meeting minutes, and relationship insights. It acts as a personal sidekick, maximizing every interaction by generating context-aware summaries, templates, and meeting dynamics based on personality types. Bloks eliminates the need for manual note-taking by automatically capturing and summarizing conversations from various sources like emails, attachments, and CRM. Users can chat with Bloks to get detailed meeting insights, relationship progress summaries, and identify conversation trends. The application is used in leading organizations to enhance productivity and streamline meeting preparation.

ChatGent is an advanced AI-powered professional assistant builder that revolutionizes the way professionals manage their interactions and tasks. It leverages the latest GPT models to provide high-quality, contextually relevant responses and robust security measures. ChatGent transforms complex data into simple, actionable conversations, enhancing productivity, efficiency, and decision-making for professionals across various industries.

Exa is a search engine that uses embeddings-based search to retrieve the best content on the web. It is trusted by companies and developers from all over the world. Exa is like Google, but it is better at understanding the meaning of your queries and returning results that are more relevant to your needs. Exa can be used for a variety of tasks, including finding information on the web, conducting research, and building AI applications.

Mindset AI is an AI tool that enables users to create AI agents in seconds using simple language. It helps speed up teams' work by allowing the creation of AI agents without the need for coding. Users can write, retrieve information, brainstorm, and more securely using their company's knowledge in a collaborative workspace. Mindset AI offers features such as AI agent builder, integrated knowledge banks, guided conversational search, capabilities for process description, and AI model selector.

Sentelo is an AI tool that offers fast and reliable information retrieval using a combination of GPT models and fast Information Retrieval technology. It provides fact-checked and up-to-date information with links to relevant resources. Sentelo is designed to help users read, write, and learn faster by offering personalized functions and prompts. It is accessible, fast, and available 24/7, making it a valuable AI learning copilot for boosting creativity, understanding complex topics, summarizing content, and generating ideas.

QPNOTES is an AI tool designed to help users save and manage their AI prompts in one convenient location. By enabling JavaScript, users can access the app's features to streamline their AI prompt management process. With QPNOTES, users can easily organize, store, and retrieve their AI prompts efficiently, enhancing their workflow and productivity.

Keepi.ai is a personal knowledge AI tool that allows users to capture, organize, and retrieve their knowledge effortlessly. With Keepi, users can capture ideas, URLs, documents, and images, and the tool uses AI to enrich and organize this knowledge for easy access. Users can leverage their personal knowledge on the go or in the office, creating insights from their stored information. Keepi.ai aims to provide users with a seamless experience in managing and utilizing their knowledge effectively.

Mem is an AI notes app designed to keep users organized by allowing them to jot down notes without the need for manual organization. The app helps users find and use their notes efficiently by leveraging AI technology. Mem offers features such as AI-powered Collections for seamless organization, Smart Search for quick note retrieval, and Mem Chat for personalized assistance. Trusted by leaders, Mem is a go-to tool for entrepreneurs, executives, and creatives seeking to streamline their note-taking process and boost productivity.

Vectara is a conversational search demo application that allows users to interact with a search engine using natural language. It provides a user-friendly interface where users can input search queries in the form of spoken language, enabling a more intuitive and efficient search experience. Vectara leverages advanced natural language processing techniques to understand and process user queries, providing accurate and relevant search results in real-time. The application aims to simplify the search process and enhance user engagement by offering a conversational search interface.

ChatTube AI is an AI-powered platform that allows users to chat with YouTube videos and PDF documents, engage with interactive content, and generate quizzes for a smarter learning experience. It offers features such as real-time Q&A with videos, interactive PDF engagement, effortless quiz creation, and supports various use cases like distance learning, corporate training, content creation, and research and development. The platform provides powerful features for efficient information retrieval, easy quiz creation, and integrated learning tools, making learning interactive and engaging.

Phew AI Tab is an AI-powered tab management tool that helps users organize and retrieve tab information efficiently. It utilizes AI-based grouping and spaces in a vertical sidebar to streamline tab management. With features like AI Grouping & Auto Collapse, AI Analyzing, AI Search, and AI-based Space & Cloud Sync, Phew AI Tab aims to enhance productivity and user experience. The tool ensures privacy with military-grade protection and offers seamless synchronization across devices.

xPDF AI by PDFChat is a personal AI assistant designed for PDF files. It offers advanced features to analyze tables, figures, and text from PDF documents, providing users with instant answers and insights. The AI assistant uses a chat interface for effortless interaction and is capable of summarizing PDF files, retrieving relevant figures, processing tables intelligently, and performing accurate calculations. Users can also benefit from voice chat, advanced search tools, performance analytics, report generation, and document assistance. With over 10,000 users trusting the platform, PDFChat aims to revolutionize document analysis and enhance productivity.

Knowledge Drive is the world's only self-organizing, self-maintaining, and fully integrated work knowledge system. It utilizes AI technology to automatically build a knowledge base by extracting useful information from documents. The system ensures knowledge freshness, easy access to information, and seamless integration across various platforms like Microsoft Office 365, Google Workspace, and Slack. Knowledge Drive aims to revolutionize knowledge management and boost productivity in teams by providing a central source of truth and eliminating the need for manual documentation.

LocalhostAI is an AI tool designed to assist users within the Chrome browser environment. It serves as a virtual assistant, providing support and guidance for various tasks. The tool integrates with Gemini Nano Chat to enhance communication capabilities and streamline interactions. Users can leverage the AI model to receive personalized recommendations, reminders, and information, ultimately improving productivity and efficiency in their daily activities.

QuickData Cloud is an innovative platform designed to simplify collaboration on online notes and text data storage. It empowers users to store, manage, and retrieve text data effortlessly through a single API endpoint, providing real-time access to information. QuickData Cloud is the simplest and fastest method to collaborate and maintain continuity in data handling, ensuring data is accessible, secure, and easy to manage. With a focus on no-code developers, it offers storage of text, comments, JSON, and databases, along with upcoming AI features for data analysis.

SmarterFolder is an AI-powered tool designed for MacOS that enables users to perform semantic image searches on their local drive. By utilizing AI technology, users can find photos based on descriptions of the content within the images. The tool ensures full privacy as no images are shared or stored externally, providing a secure and efficient way to organize and retrieve photos.

Sharly AI is a revolutionary tool that utilizes advanced AI technology to transform complex documents and PDFs into easily digestible summaries and facilitate interactive chat-based interactions. It empowers users to engage in natural language conversations with their documents, ask questions, and retrieve specific information effortlessly. Sharly AI's capabilities extend to various domains, including research, legal analysis, project management, and content summarization, offering tailored solutions for professionals in each field. By leveraging the power of AI, Sharly AI streamlines workflows, enhances productivity, and unlocks deeper insights from vast amounts of information.

Asktro is an AI tool that brings natural language search and an AI assistant to static documentation websites. It offers a modern search experience powered by embedded text similarity search and large language models. Asktro provides a ready-to-go search UI, plugin for data ingestion and indexing, documentation search, and an AI assistant for answering specific questions.

Llama-github is a powerful tool that helps retrieve relevant code snippets, issues, and repository information from GitHub based on queries. It empowers AI agents and developers to solve coding tasks efficiently. With features like intelligent GitHub retrieval, repository pool caching, LLM-powered question analysis, and comprehensive context generation, llama-github excels at providing valuable knowledge context for development needs. It supports asynchronous processing, flexible LLM integration, robust authentication options, and logging/error handling for smooth operations and troubleshooting. The vision is to seamlessly integrate with GitHub for AI-driven development solutions, while the roadmap focuses on empowering LLMs to automatically resolve complex coding tasks.

SuperAgentX is a lightweight open-source AI framework designed for multi-agent applications with Artificial General Intelligence (AGI) capabilities. It offers goal-oriented multi-agents with retry mechanisms, easy deployment through WebSocket, RESTful API, and IO console interfaces, streamlined architecture with no major dependencies, contextual memory using SQL + Vector databases, flexible LLM configuration supporting various Gen AI models, and extendable handlers for integration with diverse APIs and data sources. It aims to accelerate the development of AGI by providing a powerful platform for building autonomous AI agents capable of executing complex tasks with minimal human intervention.

RAG Web UI is an intelligent dialogue system based on RAG (Retrieval-Augmented Generation) technology. It helps enterprises and individuals build intelligent Q&A systems based on their own knowledge bases. By combining document retrieval and large language models, it delivers accurate and reliable knowledge-based question-answering services. The system is designed with features like intelligent document management, advanced dialogue engine, and a robust architecture. It supports multiple document formats, async document processing, multi-turn contextual dialogue, and reference citations in conversations. The architecture includes a backend stack with Python FastAPI, MySQL + ChromaDB, MinIO, Langchain, JWT + OAuth2 for authentication, and a frontend stack with Next.js, TypeScript, Tailwind CSS, Shadcn/UI, and Vercel AI SDK for AI integration. Performance optimization includes incremental document processing, streaming responses, vector database performance tuning, and distributed task processing. The project is licensed under the Apache-2.0 License and is intended for learning and sharing RAG knowledge only, not for commercial purposes.

CometLLM is a tool to log and visualize your LLM prompts and chains. Use CometLLM to identify effective prompt strategies, streamline your troubleshooting, and ensure reproducible workflows!

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

Spice is a portable runtime written in Rust that offers developers a unified SQL interface to materialize, accelerate, and query data from any database, data warehouse, or data lake. It connects, fuses, and delivers data to applications, machine-learning models, and AI-backends, functioning as an application-specific, tier-optimized Database CDN. Built with industry-leading technologies such as Apache DataFusion, Apache Arrow, Apache Arrow Flight, SQLite, and DuckDB. Spice makes it fast and easy to query data from one or more sources using SQL, co-locating a managed dataset with applications or machine learning models, and accelerating it with Arrow in-memory, SQLite/DuckDB, or attached PostgreSQL for fast, high-concurrency, low-latency queries.

Pacha is an AI tool designed for retrieving context for natural language queries using a SQL interface and Python programming environment. It is optimized for working with Hasura DDN for multi-source querying. Pacha is used in conjunction with language models to produce informed responses in AI applications, agents, and chatbots.

LMOps is a research initiative focusing on fundamental research and technology for building AI products with foundation models, particularly enabling AI capabilities with Large Language Models (LLMs) and Generative AI models. The project explores various aspects such as prompt optimization, longer context handling, LLM alignment, acceleration of LLMs, LLM customization, and understanding in-context learning. It also includes tools like Promptist for automatic prompt optimization, Structured Prompting for efficient long-sequence prompts consumption, and X-Prompt for extensible prompts beyond natural language. Additionally, LLMA accelerators are developed to speed up LLM inference by referencing and copying text spans from documents. The project aims to advance technologies that facilitate prompting language models and enhance the performance of LLMs in various scenarios.

ERAG is an advanced system that combines lexical, semantic, text, and knowledge graph searches with conversation context to provide accurate and contextually relevant responses. This tool processes various document types, creates embeddings, builds knowledge graphs, and uses this information to answer user queries intelligently. It includes modules for interacting with web content, GitHub repositories, and performing exploratory data analysis using various language models.

RAGLite is a Python toolkit for Retrieval-Augmented Generation (RAG) with PostgreSQL or SQLite. It offers configurable options for choosing LLM providers, database types, and rerankers. The toolkit is fast and permissive, utilizing lightweight dependencies and hardware acceleration. RAGLite provides features like PDF to Markdown conversion, multi-vector chunk embedding, optimal semantic chunking, hybrid search capabilities, adaptive retrieval, and improved output quality. It is extensible with a built-in Model Context Protocol server, customizable ChatGPT-like frontend, document conversion to Markdown, and evaluation tools. Users can configure RAGLite for various tasks like configuring, inserting documents, running RAG pipelines, computing query adapters, evaluating performance, running MCP servers, and serving frontends.

This repository is dedicated to collecting and categorizing papers related to Retrieval-Augmented Generation (RAG) for AI-generated content. It serves as a survey repository based on the paper 'Retrieval-Augmented Generation for AI-Generated Content: A Survey'. The repository is continuously updated to keep up with the rapid growth in the field of RAG.

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

Awesome RAG is a curated list of retrieval-augmented generation (RAG) in large language models. It includes papers, surveys, general resources, lectures, talks, tutorials, workshops, tools, and other collections related to retrieval-augmented generation. The repository aims to provide a comprehensive overview of the latest advancements, techniques, and applications in the field of RAG.

The AI-Exchange Protocol (AIXP) is a communication standard designed to facilitate information and result exchange between artificial intelligence agents. It aims to enhance interoperability and collaboration among various AI systems by establishing a common framework for communication. AIXP includes components for communication, loop prevention, and task finalization, ensuring secure and efficient collaboration while avoiding infinite communication loops. The protocol defines access points, data formats, authentication, authorization, versioning, loop detection, status codes, error messages, and task completion verification. AIXP enables AI agents to collaborate seamlessly and complete tasks effectively, contributing to the overall efficiency and reliability of AI systems.

This repository provides a systematic and comprehensive review of efficient LLMs research. We organize the literature in a taxonomy consisting of three main categories, covering distinct yet interconnected efficient LLMs topics from **model-centric** , **data-centric** , and **framework-centric** perspective, respectively. We hope our survey and this GitHub repository can serve as valuable resources to help researchers and practitioners gain a systematic understanding of the research developments in efficient LLMs and inspire them to contribute to this important and exciting field.

CodeGeeX4-ALL-9B is an open-source multilingual code generation model based on GLM-4-9B, offering enhanced code generation capabilities. It supports functions like code completion, code interpreter, web search, function call, and repository-level code Q&A. The model has competitive performance on benchmarks like BigCodeBench and NaturalCodeBench, outperforming larger models in terms of speed and performance.

This repository includes papers and blogs about Efficient Transformers, Length Extrapolation, Long Term Memory, Retrieval Augmented Generation(RAG), and Evaluation for Long Context Modeling.

Connect and interact with your Google accounts. Organize, retrieve, and manipulate data with A.I

Download data from the internet. Fetch the content of sites and make it available to the session, given a URL.

Finds and provides RSS feed URLs for given website links.

myaidrive.com plugin to search across all your dive documents.

Expert at web navigation and information retrieval.

Retrieve data on DeFi protocols and blockchains

This GPT allows to interact with the Unprotect DB to retrieve knowledge about malware evasion techniques

Never lose data again. Store entire conversations for later retrieve or sharing. Do not share sensible information, data is publicly available.

Unlock the power of your research with the AskYourPDF Research Assistant. Bring information to your fingertips today.

I search Lambeth's planning site to provide links to policies and documents.

Expert in Tiago Forte's Second Brain methodology for digital organization.

Efficient Assistant for task management, info retrieval, and scheduling. Offers dynamic, personalized support while ensuring user privacy and data security. Ideal for organizing tasks, setting reminders, and providing up-to-date information.

I browse docs to answer Svelte & Supabase queries.

Can't quite remember that thought you had? Use this GPT to help guide you back to your memory.

Write what you'd like researched. Get information in a table format.

Golden Retriever training expert providing advice and tips

Retrieves hunting-related data for each state. Providing insightful data analysis on trends in hunting statistics. (beta)

Comprehensive training and wellness guide for Chesapeake Bay Retrievers.