Best AI tools for< Generate Ingestion Code >

Ragie is a fully managed RAG-as-a-Service platform designed for developers. It offers easy-to-use APIs and SDKs to help developers get started quickly, with advanced features like LLM re-ranking, summary index, entity extraction, flexible filtering, and hybrid semantic and keyword search. Ragie allows users to connect directly to popular data sources like Google Drive, Notion, Confluence, and more, ensuring accurate and reliable information delivery. The platform is led by Craft Ventures and offers seamless data connectivity through connectors. Ragie simplifies the process of data ingestion, chunking, indexing, and retrieval, making it a valuable tool for AI applications.

Jacquard is an AI-powered platform that offers hyper-personalized brand messaging at scale. It provides a core platform for generating brand-safe messaging, along with add-ons for audience optimization and personalized campaigns. The technology is designed to resonate with people by tailoring messaging to individual customer contexts. Jacquard's expert language calibration and trusted content generation ensure sustained brand affinity and high engagement levels. The platform integrates seamlessly with existing tech stacks and offers real-time API and data ingestion for continuous optimization.

Stylar is a powerful AI-powered image generation and design tool that provides users with unparalleled control over image composition and style. With its user-friendly interface and advanced features, Stylar makes it easy for users of all skill levels to create stunning and professional-looking images. Key features of Stylar include predefined styles for effortless design customization, layering, positioning, and sketching tools for intuitive design, and user-friendly interface for all skill levels.

Dzine (formerly Stylar.ai) is a powerful AI image generation and design tool that provides users with unparalleled control over image composition and style. It offers predefined styles for effortless design customization, layering, positioning, and sketching tools for intuitive design, and an 'Enhance' feature to address common challenges with AI-generated images. With a user-friendly interface suitable for all skill levels, Dzine makes it easy to create stunning and stylish images. It supports high-resolution exports and provides free credits for new users to try out its features.

Fulgent AI is an advanced AI headshot generator that utilizes cutting-edge technology to produce images that closely resemble actual photographs, suitable for professional use. The platform offers features such as AI art generation, avatar creation, sticker design, and showcases artworks created by the community. Users can explore the possibilities of AI art and unleash their creativity with limitless AI-generated content.

SOAP Note AI is a HIPAA-compliant, fast, and efficient AI-assisted tool for generating SOAP notes and progress notes in various healthcare specialties such as Physical Therapy, Occupational Therapy, Nursing, Mental Health, SLP, Dentistry, Podiatry, Massage, Acupuncture, Chiropractic, Veterinary, and Pharmacy. It helps healthcare professionals save time by converting shorthand, audio dictation, or AI Scribe session recordings into comprehensive SOAP notes in minutes. The tool is designed to reduce daily documentation time with its HIPAA-compliant AI-powered assistant.

Visionboards AI is an AI-powered platform that helps users visualize and achieve their goals by creating personalized vision boards. The platform uses AI to generate inspiring images aligned with users' aspirations, fueling confidence and motivation. Users can share their goals, generate customized vision boards, and stay motivated to turn their dreams into reality. Visionboards AI offers different pricing packages with unique features and benefits, including high-resolution visuals, psychology-backed success visualization, and commercial use licenses. The platform aims to empower users to see themselves achieving their specific goals and progress through stages of their journey.

CognitiveMill™ is a cognitive computing cloud platform designed specifically for the media and entertainment industry. It offers a range of AI-powered solutions for automating video content analysis and production workflows, including automated movie trailer generation, skip intro and outro detection, AI-based celebrity listing automation, nudity filtering, automated subtitle generation, video ad detection and replacement, context-aware video ad insertion, logo detection for branding, automated sports highlights generation, esports games highlights generation, automated video clipping with AI, video summaries, and vertical media adaptation for social networks.

2txt is an AI tool that revolutionizes conversion and organic traffic. It offers services for content generation, data harmonization, and excellent support. Users can benefit from SEO-optimized category texts, product descriptions, translations, and more. The tool helps in saving time, increasing efficiency, and scaling content production. With features like automatic link insertion, data cleanup, and plug-and-play content generation, 2txt streamlines the process of creating high-quality content tailored to individual needs.

RoastAi is an AI tool designed to provide a fun and entertaining experience by 'roasting' uploaded images. Users can upload their images and receive humorous or witty comments generated by the AI. The tool is created with the intention of bringing laughter and amusement to users through AI-generated content. RoastAi is a light-hearted application that aims to entertain and engage users with its unique concept.

Sqriblr is a game-changing solution for active ChatGPT users by enhancing ChatGPT responses with automated image insertion. It simplifies the content creation process by automating image insertion into ChatGPT responses, leading to increased engagement, shareability, and overall improvement in content quality. Sqriblr streamlines content creation for professionals like entrepreneurs, marketers, and bloggers, saving time, improving content quality, and boosting engagement. It offers a seamless integration with ChatGPT, providing an effortless and automatic solution for adding images to responses.

Generate is an experiment to generate data from LLM. It is now deprecated.

Self-Introduction Generate AI is an innovative platform designed to assist individuals and businesses in crafting compelling and effective self-introductions. It leverages advanced AI technology to understand context and generate personalized content. The platform can analyze and understand various types of input, including text and context, to generate tailored self-introductions that are engaging and informative, enhancing personal and professional branding. With features like quick response times, quality assurance, and specialized service for self-introductions, it is an ideal tool for job applications, networking events, and personal branding initiatives.

Nextatlas Generate Suite is a cutting-edge AI-powered trend forecasting service that revolutionizes market research and consumer behavior analysis. It offers a full array of specialized assistants to provide detailed workflow planning, innovation scouting, trend tracking, and brand strategy advice. The suite includes GenAI Agents for efficient workflows, a Chat feature for advanced insights, Persona Generator for persona development, Ingredient Discovery Agent for food innovation, and more. Generate Suite is designed to support professionals in future-ready strategies across various industries and geographies, powered by real-time data and AI technology.

ZMO.AI is a free AI image generator tool that allows users to create stunning AI art, images, anime, and realistic photos from text or images with a simple click of a button. The tool offers a full suite of powerful features to generate, remove, expand, or edit images like a pro using AI magic. With ZMO.AI, users can effortlessly generate anime and manga characters, flawless portrait photos, and realistic backgrounds. The application is trusted by over 1,000,000 users worldwide for its high-quality AI image generation capabilities.

Dezgo is a text-to-image AI image generator powered by Stable Diffusion AI. It allows users to generate images from text descriptions. The tool offers various features such as controlled text-to-image, image-to-image upscale, inpainting from text, editing images from text, removing backgrounds, and text-to-video generation. Dezgo also provides access to models, APIs, and an affiliate program.

Namelix by Brandmark.io is a free AI-powered business name generator that helps users create short, brandable names using artificial intelligence. The tool generates catchy names with a state-of-the-art language model, allowing users to filter results based on their preferences. Users can save their favorite names, and the algorithm learns from their choices to provide better recommendations over time. Namelix aims to address the challenge of limited naming options for new businesses by offering unique, memorable, and affordable branded names. Additionally, users can create a professional logo for their business using Brandmark.io.

This free AI story generator can help you create unique and engaging stories in seconds. Simply enter a few details about your story, and our AI will generate a complete story for you. You can use this tool to generate story ideas, write short stories, or even create entire novels.

SEO Writing AI is an AI-powered writing tool that helps users create SEO-optimized articles, blog posts, and affiliate content in just a few clicks. With its user-friendly interface and advanced features, SEO Writing AI makes it easy for anyone to generate high-quality content that ranks well in search results. Some of the key features of SEO Writing AI include the ability to generate articles in over 48 languages, automatically post articles to WordPress, and optimize content for specific keywords. SEO Writing AI also offers a variety of templates and tools to help users create engaging and informative content. Overall, SEO Writing AI is a valuable tool for anyone who wants to improve their content marketing efforts.

Photo AI is an AI-powered photo generator that allows users to create realistic images of people in various poses, settings, and actions. With Photo AI, users can upload their selfies to create their own AI model, which can then be used to generate photos in any pose, place, or action. Photo AI also offers a variety of photo packs, which provide users with pre-made photo templates and prompts. Additionally, Photo AI allows users to upload clothes to dress their AI model, and to create AI-generated fashion designs with Sketch2Image.

Neo4j Runway is a Python library that simplifies the process of migrating relational data into a graph. It provides tools to abstract communication with OpenAI for data discovery, generate data models, ingestion code, and load data into a Neo4j instance. The library leverages OpenAI LLMs for insights, Instructor Python library for modeling, and PyIngest for data loading. Users can visualize data models using graphviz and benefit from a seamless integration with Neo4j for efficient data migration.

Wandbot is a question-answering bot designed for Weights & Biases documentation. It employs Retrieval Augmented Generation with a ChromaDB backend for efficient responses. The bot features periodic data ingestion, integration with Discord and Slack, and performance monitoring through logging. It has a fallback mechanism for model selection and is evaluated based on retrieval accuracy and model-generated responses. The implementation includes creating document embeddings, constructing the Q&A RAGPipeline, model selection, deployment on FastAPI, Discord, and Slack, logging and analysis with Weights & Biases Tables, and performance evaluation.

This repository contains a Rest-Backend for a Conversational Agent that allows embedding documents, semantic search, QA based on documents, and document processing with Large Language Models. It uses Aleph Alpha and OpenAI Large Language Models to generate responses to user queries, includes a vector database, and provides a REST API built with FastAPI. The project also features semantic search, secret management for API keys, installation instructions, and development guidelines for both backend and frontend components.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

Cognita is an open-source framework to organize your RAG codebase along with a frontend to play around with different RAG customizations. It provides a simple way to organize your codebase so that it becomes easy to test it locally while also being able to deploy it in a production ready environment. The key issues that arise while productionizing RAG system from a Jupyter Notebook are: 1. **Chunking and Embedding Job** : The chunking and embedding code usually needs to be abstracted out and deployed as a job. Sometimes the job will need to run on a schedule or be trigerred via an event to keep the data updated. 2. **Query Service** : The code that generates the answer from the query needs to be wrapped up in a api server like FastAPI and should be deployed as a service. This service should be able to handle multiple queries at the same time and also autoscale with higher traffic. 3. **LLM / Embedding Model Deployment** : Often times, if we are using open-source models, we load the model in the Jupyter notebook. This will need to be hosted as a separate service in production and model will need to be called as an API. 4. **Vector DB deployment** : Most testing happens on vector DBs in memory or on disk. However, in production, the DBs need to be deployed in a more scalable and reliable way. Cognita makes it really easy to customize and experiment everything about a RAG system and still be able to deploy it in a good way. It also ships with a UI that makes it easier to try out different RAG configurations and see the results in real time. You can use it locally or with/without using any Truefoundry components. However, using Truefoundry components makes it easier to test different models and deploy the system in a scalable way. Cognita allows you to host multiple RAG systems using one app. ### Advantages of using Cognita are: 1. A central reusable repository of parsers, loaders, embedders and retrievers. 2. Ability for non-technical users to play with UI - Upload documents and perform QnA using modules built by the development team. 3. Fully API driven - which allows integration with other systems. > If you use Cognita with Truefoundry AI Gateway, you can get logging, metrics and feedback mechanism for your user queries. ### Features: 1. Support for multiple document retrievers that use `Similarity Search`, `Query Decompostion`, `Document Reranking`, etc 2. Support for SOTA OpenSource embeddings and reranking from `mixedbread-ai` 3. Support for using LLMs using `Ollama` 4. Support for incremental indexing that ingests entire documents in batches (reduces compute burden), keeps track of already indexed documents and prevents re-indexing of those docs.

GenAIScript is a scripting environment designed to facilitate file ingestion, prompt development, and structured data extraction. Users can define metadata and model configurations, specify data sources, and define tasks to extract specific information. The tool provides a convenient way to analyze files and extract desired content in a structured format. It offers a user-friendly interface for working with data and automating data extraction processes, making it suitable for various data processing tasks.

Ask Astro is an open-source reference implementation of Andreessen Horowitz's LLM Application Architecture built by Astronomer. It provides an end-to-end example of a Q&A LLM application used to answer questions about Apache Airflow® and Astronomer. Ask Astro includes Airflow DAGs for data ingestion, an API for business logic, a Slack bot, a public UI, and DAGs for processing user feedback. The tool is divided into data retrieval & embedding, prompt orchestration, and feedback loops.

1filellm is a command-line data aggregation tool designed for LLM ingestion. It aggregates and preprocesses data from various sources into a single text file, facilitating the creation of information-dense prompts for large language models. The tool supports automatic source type detection, handling of multiple file formats, web crawling functionality, integration with Sci-Hub for research paper downloads, text preprocessing, and token count reporting. Users can input local files, directories, GitHub repositories, pull requests, issues, ArXiv papers, YouTube transcripts, web pages, Sci-Hub papers via DOI or PMID. The tool provides uncompressed and compressed text outputs, with the uncompressed text automatically copied to the clipboard for easy pasting into LLMs.

SambaNova AI Starter Kits is a collection of open-source examples and guides designed to facilitate the deployment of AI-driven use cases for developers and enterprises. The kits cover various categories such as Data Ingestion & Preparation, Model Development & Optimization, Intelligent Information Retrieval, and Advanced AI Capabilities. Users can obtain a free API key using SambaNova Cloud or deploy models using SambaStudio. Most examples are written in Python but can be applied to any programming language. The kits provide resources for tasks like text extraction, fine-tuning embeddings, prompt engineering, question-answering, image search, post-call analysis, and more.

The AWS Generative AI Constructs Library is an open-source extension of the AWS Cloud Development Kit (AWS CDK) that provides multi-service, well-architected patterns for quickly defining solutions in code to create predictable and repeatable infrastructure, called constructs. The goal of AWS Generative AI CDK Constructs is to help developers build generative AI solutions using pattern-based definitions for their architecture. The patterns defined in AWS Generative AI CDK Constructs are high level, multi-service abstractions of AWS CDK constructs that have default configurations based on well-architected best practices. The library is organized into logical modules using object-oriented techniques to create each architectural pattern model.

OpenContracts is an Apache-2 licensed enterprise document analytics tool that supports multiple formats, including PDF and txt-based formats. It features multiple document ingestion pipelines with a pluggable architecture for easy format and ingestion engine support. Users can create custom document analytics tools with beautiful result displays, support mass document data extraction with a LlamaIndex wrapper, and manage document collections, layout parsing, automatic vector embeddings, and human annotation. The tool also offers pluggable parsing pipelines, human annotation interface, LlamaIndex integration, data extraction capabilities, and custom data extract pipelines for bulk document querying.

Airbroke is an open-source error catcher tool designed for modern web applications. It provides a PostgreSQL-based backend with an Airbrake-compatible HTTP collector endpoint and a React-based frontend for error management. The tool focuses on simplicity, maintaining a small database footprint even under heavy data ingestion. Users can ask AI about issues, replay HTTP exceptions, and save/manage bookmarks for important occurrences. Airbroke supports multiple OAuth providers for secure user authentication and offers occurrence charts for better insights into error occurrences. The tool can be deployed in various ways, including building from source, using Docker images, deploying on Vercel, Render.com, Kubernetes with Helm, or Docker Compose. It requires Node.js, PostgreSQL, and specific system resources for deployment.

FarmVibes.AI is a repository focused on developing multi-modal geospatial machine learning models for agriculture and sustainability. It enables users to fuse various geospatial and spatiotemporal datasets, such as satellite imagery, drone imagery, and weather data, to generate robust insights for agriculture-related problems. The repository provides fusion workflows, data preparation tools, model training notebooks, and an inference engine to facilitate the creation of geospatial models tailored for agriculture and farming. Users can interact with the tools via a local cluster, REST API, or a Python client, and the repository includes documentation and notebook examples to guide users in utilizing FarmVibes.AI for tasks like harvest date detection, climate impact estimation, micro climate prediction, and crop identification.

The LLM Twin Course is a free, end-to-end framework for building production-ready LLM systems. It teaches you how to design, train, and deploy a production-ready LLM twin of yourself powered by LLMs, vector DBs, and LLMOps good practices. The course is split into 11 hands-on written lessons and the open-source code you can access on GitHub. You can read everything and try out the code at your own pace.

Swiftide is a fast, streaming indexing and query library tailored for Retrieval Augmented Generation (RAG) in AI applications. It is built in Rust, utilizing parallel, asynchronous streams for blazingly fast performance. With Swiftide, users can easily build AI applications from idea to production in just a few lines of code. The tool addresses frustrations around performance, stability, and ease of use encountered while working with Python-based tooling. It offers features like fast streaming indexing pipeline, experimental query pipeline, integrations with various platforms, loaders, transformers, chunkers, embedders, and more. Swiftide aims to provide a platform for data indexing and querying to advance the development of automated Large Language Model (LLM) applications.

The RAG Experiment Accelerator is a versatile tool that helps you conduct experiments and evaluations using Azure AI Search and RAG pattern. It offers a rich set of features, including experiment setup, integration with Azure AI Search, Azure Machine Learning, MLFlow, and Azure OpenAI, multiple document chunking strategies, query generation, multiple search types, sub-querying, re-ranking, metrics and evaluation, report generation, and multi-lingual support. The tool is designed to make it easier and faster to run experiments and evaluations of search queries and quality of response from OpenAI, and is useful for researchers, data scientists, and developers who want to test the performance of different search and OpenAI related hyperparameters, compare the effectiveness of various search strategies, fine-tune and optimize parameters, find the best combination of hyperparameters, and generate detailed reports and visualizations from experiment results.

A curated list of Generative AI projects, tools, artworks, and models

OneFileLLM is a command-line tool that streamlines the creation of information-dense prompts for large language models (LLMs). It aggregates and preprocesses data from various sources, compiling them into a single text file for quick use. The tool supports automatic source type detection, handling of multiple file formats, web crawling functionality, integration with Sci-Hub for research paper downloads, text preprocessing, token count reporting, and XML encapsulation of output for improved LLM performance. Users can easily access private GitHub repositories by generating a personal access token. The tool's output is encapsulated in XML tags to enhance LLM understanding and processing.

Kernel Memory (KM) is a multi-modal AI Service specialized in the efficient indexing of datasets through custom continuous data hybrid pipelines, with support for Retrieval Augmented Generation (RAG), synthetic memory, prompt engineering, and custom semantic memory processing. KM is available as a Web Service, as a Docker container, a Plugin for ChatGPT/Copilot/Semantic Kernel, and as a .NET library for embedded applications. Utilizing advanced embeddings and LLMs, the system enables Natural Language querying for obtaining answers from the indexed data, complete with citations and links to the original sources. Designed for seamless integration as a Plugin with Semantic Kernel, Microsoft Copilot and ChatGPT, Kernel Memory enhances data-driven features in applications built for most popular AI platforms.

AITreasureBox is a comprehensive collection of AI tools and resources designed to simplify and accelerate the development of AI projects. It provides a wide range of pre-trained models, datasets, and utilities that can be easily integrated into various AI applications. With AITreasureBox, developers can quickly prototype, test, and deploy AI solutions without having to build everything from scratch. Whether you are working on computer vision, natural language processing, or reinforcement learning projects, AITreasureBox has something to offer for everyone. The repository is regularly updated with new tools and resources to keep up with the latest advancements in the field of artificial intelligence.

Inception machine for AI souls

Create Futuristic Inventions

💡 Inventor of languages

Generates Angular components based on requirements, with a focus on code-first responses.

Transforms lines into detailed prompts for visual storytelling.

Discover how your writing can shine with a unique and human style. This prompt guides you to create rich and varied texts, surprising with original twists and maintaining coherence and originality. Transform your writing and challenge AI detection tools!

Generate captions for your image and choose the vibe you like.

I generate top 10 PLG strategies in a table format

I generate viral GPT ideas based on your inputs.

Generate your eslint rule

I generate witty trash talk for fantasy football leagues.

Generate dreamy landscapes with silhouette persons

Helps you generate script keyframes, for better experience please visit museclip.ai

I generate tattoo design ideas based on your preferences.

Extract the essence of the novel story according to the quantity requirements and generate corresponding images. The images can be used directly to create novel videos.小说推文图片自动批量生成,可自动生成风格一致性图片

This GPT can generate code for you. For now it creates full-stack apps using Typescript. Just describe the feature you want and you will get a link to the Github code pull request and the live app deployed.

Generate personalized book covers

Generate Good Morning Messages for WhatsApp

I generate catchy product taglines.

I generate concise Chakra UI code from UI images or requirements.