Best AI tools for< Serve Apis >

LangChain is an AI tool that offers a suite of products supporting developers in the LLM application lifecycle. It provides a framework to construct LLM-powered apps easily, visibility into app performance, and a turnkey solution for serving APIs. LangChain enables developers to build context-aware, reasoning applications and future-proof their applications by incorporating vendor optionality. LangSmith, a part of LangChain, helps teams improve accuracy and performance, iterate faster, and ship new AI features efficiently. The tool is designed to drive operational efficiency, increase discovery & personalization, and deliver premium products that generate revenue.

BentoML is a platform for software engineers to build, ship, and scale AI products. It provides a unified AI application framework that makes it easy to manage and version models, create service APIs, and build and run AI applications anywhere. BentoML is used by over 1000 organizations and has a global community of over 3000 members.

Inferkit AI is an AI tool that offers a cheaper and faster LLM router. It provides users with the ability to generate text content efficiently and cost-effectively. The tool is designed to assist users in creating various types of written content, such as articles, stories, and more, by leveraging advanced language models. Inferkit AI aims to streamline the content creation process and enhance productivity for individuals and businesses alike.

Backmesh is an AI tool that serves as a proxy on edge CDN servers, enabling secure and direct access to LLM APIs without the need for a backend or SDK. It allows users to call LLM APIs from their apps, ensuring protection through JWT verification and rate limits. Backmesh also offers user analytics for LLM API calls, helping identify usage patterns and enhance user satisfaction within AI applications.

Rapid API Marketplace is a comprehensive platform that offers a seamless connected experience for developers to build, use, and share APIs. It serves as a hub for both enterprise and public marketplaces, providing security features and client applications for Mac and VS Code. With a focus on industries like telecommunications, insurance, and travel, the platform offers resources such as eBooks, guides, webinars, and courses. Rapid API Marketplace aims to optimize API value, analytics, and monetization for businesses and developers.

Videograph is an AI-powered video platform that offers a wide range of video APIs for live and on-demand video streaming. It provides advanced features such as video encoding, live streaming, monetization, content distribution analytics, and portrait conversion. With seamless organization through Digital Asset Management, Videograph enables users to transcode videos in 4K, archive with low-res preview, tag content, and utilize Dolby Vision and Dolby Audio technologies. The AI cropping tool automatically converts landscape videos to portrait ratio for social media. Elevate broadcasts with low-latency live streams, real-time analytics, and Server-Side Ad Insertion for monetization. The platform also offers insights on partner-wise analytics, EPG programs, and ad performance trends. Videograph's plug-and-play APIs support video ingestion, processing, and delivery, enhancing the streaming experience with subtitles, thumbnails, and more.

The website seems to be experiencing technical difficulties as indicated by the error message '502 Bad Gateway'. This error typically occurs when a server acting as a gateway or proxy receives an invalid response from an upstream server. The message 'openresty' suggests that the server may be using the OpenResty web platform. Users encountering a 502 Bad Gateway error may need to wait for the issue to be resolved by the website's administrators or try accessing the site at a later time.

The website is currently displaying a '403 Forbidden' error, which indicates that the server understood the request but refuses to authorize it. This error message is often displayed when the user is trying to access a webpage or resource that they are not permitted to view. The 'openresty' mentioned in the error message is a web platform based on NGINX and LuaJIT, known for its high performance and scalability in handling web traffic. It is commonly used for building dynamic web applications and APIs.

The website is currently displaying a '403 Forbidden' error message, which indicates that the server is refusing to respond to the request. This error is often caused by insufficient permissions or misconfiguration on the server side. The 'openresty' mentioned in the message is a web platform based on Nginx and Lua that can be used to build high-performance web applications. It is commonly used for content delivery networks, API gateways, and other web services.

Convex is a fullstack TypeScript development platform that serves as an open-source backend for application builders. It offers a comprehensive set of APIs and tools to build, launch, and scale applications efficiently. With features like real-time collaboration, optimized transactions, and over 80 OAuth integrations, Convex simplifies backend operations and allows developers to focus on delivering value to customers. The platform enables developers to write backend logic in TypeScript, perform database operations with strong consistency, and integrate with various third-party services seamlessly. Convex is praised for its reliability, simplicity, and developer experience, making it a popular choice for modern software development projects.

The OpenAI Developer Forum is a platform for developers to discuss and seek help related to OpenAI's APIs and tools. Users can post questions, share experiences, and provide feedback on various topics such as API functionalities, bug reports, feature requests, and community interactions. The forum serves as a valuable resource for developers looking to leverage artificial intelligence technologies in their projects.

ad:personam is an AI-powered Self Serve DSP platform for programmatic advertising, designed to empower businesses of any size to thrive in the programmatic advertising space. It offers a comprehensive suite of programmatic advertising solutions, cutting-edge AI-driven insights and planning tools, and transparent pricing. With features like multi-format ad uploads, cookieless targeting, and in-depth reporting, ad:personam aims to simplify programmatic advertising with AI efficiency and effectiveness.

BoldDesk by Syncfusion is a comprehensive customer service software designed to effortlessly resolve 70% of customer inquiries. It offers features such as ticketing system, live chat support, omnichannel inbox, knowledge base, task management, and AI Copilot. The application aims to enhance customer service efficiency through automation, collaboration, and customization. BoldDesk provides workflow automation, contact management, reports & analytics, mobile app, customer portal, apps & integrations, and satisfaction survey (CSAT). It caters to startups, small businesses, and enterprises, offering solutions for email ticketing, shared inbox software, multi-brand help desk, internal help desk software, trouble ticketing software, and embedded help widgets.

Backend.AI is an enterprise-scale cluster backend for AI frameworks that offers scalability, GPU virtualization, HPC optimization, and DGX-Ready software products. It provides a fast and efficient way to build, train, and serve AI models of any type and size, with flexible infrastructure options. Backend.AI aims to optimize backend resources, reduce costs, and simplify deployment for AI developers and researchers. The platform integrates seamlessly with existing tools and offers fractional GPU usage and pay-as-you-play model to maximize resource utilization.

Seldon is an MLOps platform that helps enterprises deploy, monitor, and manage machine learning models at scale. It provides a range of features to help organizations accelerate model deployment, optimize infrastructure resource allocation, and manage models and risk. Seldon is trusted by the world's leading MLOps teams and has been used to install and manage over 10 million ML models. With Seldon, organizations can reduce deployment time from months to minutes, increase efficiency, and reduce infrastructure and cloud costs.

Baseten is a machine learning infrastructure that provides a unified platform for data scientists and engineers to build, train, and deploy machine learning models. It offers a range of features to simplify the ML lifecycle, including data preparation, model training, and deployment. Baseten also provides a marketplace of pre-built models and components that can be used to accelerate the development of ML applications.

Helsing is an AI tool designed to serve and protect democracies by leveraging artificial intelligence technology. The company focuses on developing software-first solutions that enhance defense capabilities and safeguard democratic values. Helsing collaborates with industry and governments to integrate advanced AI with hardware platforms, aiming to achieve technological leadership in the defense sector. The team at Helsing comprises experts with diverse backgrounds in software, defense, intelligence, and artificial intelligence, united by a shared commitment to upholding democratic principles.

Predibase is a platform for fine-tuning and serving Large Language Models (LLMs). It provides a cost-effective and efficient way to train and deploy LLMs for a variety of tasks, including classification, information extraction, customer sentiment analysis, customer support, code generation, and named entity recognition. Predibase is built on proven open-source technology, including LoRAX, Ludwig, and Horovod.

Meteron AI is an all-in-one AI toolset that helps developers build AI-powered products faster and easier. It provides a simple, yet powerful metering mechanism, elastic scaling, unlimited storage, and works with any model. With Meteron, developers can focus on building AI products instead of worrying about the underlying infrastructure.

Heenok is an AI-powered content-generating tool designed to help users quickly create high-quality content with minimal effort, time, and cost. It offers features such as AI-powered social media marketing, content improvement, video script writing, landing page copy generation, and business strategy development. Heenok's cutting-edge technology leverages artificial intelligence to generate engaging and original content that resonates with the audience. The tool aims to save time and money by automating content creation processes and providing intuitive interfaces for users to create human-like content effortlessly.

GPUStack is an open-source GPU cluster manager designed for running large language models (LLMs). It supports a wide variety of hardware, scales with GPU inventory, offers lightweight Python package with minimal dependencies, provides OpenAI-compatible APIs, simplifies user and API key management, enables GPU metrics monitoring, and facilitates token usage and rate metrics tracking. The tool is suitable for managing GPU clusters efficiently and effectively.

llm-ls is a Language Server Protocol (LSP) server that utilizes Large Language Models (LLMs) to enhance the development experience. It aims to serve as a foundation for IDE extensions by simplifying interactions with LLMs, enabling lightweight extension code. The server offers features such as context-based prompt generation, telemetry for retraining, code completion based on AST analysis, and compatibility with various backends like Hugging Face's APIs and llama.cpp server bindings.

UglyFeed is a simple Python application designed to retrieve, aggregate, filter, rewrite, evaluate, and serve content (RSS feeds) written by a large language model. It provides features such as retrieving RSS feeds, aggregating feed items by similarity, rewriting content using various APIs, saving rewritten feeds to JSON files, converting JSON to valid RSS feed, serving XML feed via an HTTP server, deploying XML feed to GitHub or GitLab, and evaluating generated content. The tool can be used for smart content curation, dynamic blog generation, interactive educational tools, personalized reading experiences, brand monitoring, multilingual content delivery, enhanced RSS feeds, creative writing assistance, content repurposing, and fake news detection datasets. It is modular, extensible, and aims to empower users in content manipulation and delivery.

KTransformers is a flexible Python-centric framework designed to enhance the user's experience with advanced kernel optimizations and placement/parallelism strategies for Transformers. It provides a Transformers-compatible interface, RESTful APIs compliant with OpenAI and Ollama, and a simplified ChatGPT-like web UI. The framework aims to serve as a platform for experimenting with innovative LLM inference optimizations, focusing on local deployments constrained by limited resources and supporting heterogeneous computing opportunities like GPU/CPU offloading of quantized models.

API Improvement Proposals (AIPs) are design documents that provide high-level, concise documentation for API development at Google. The goal of AIPs is to serve as the source of truth for API-related documentation and to facilitate discussion and consensus among API teams. AIPs are similar to Python's enhancement proposals (PEPs) and are organized into different areas within Google to accommodate historical differences in customs, styles, and guidance.

Gorilla is a tool that enables LLMs to use tools by invoking APIs. Given a natural language query, Gorilla comes up with the semantically- and syntactically- correct API to invoke. With Gorilla, you can use LLMs to invoke 1,600+ (and growing) API calls accurately while reducing hallucination. Gorilla also releases APIBench, the largest collection of APIs, curated and easy to be trained on!

Amplication is a robust, open-source development platform designed to revolutionize the creation of scalable and secure .NET and Node.js applications. It automates backend applications development, ensuring consistency, predictability, and adherence to the highest standards with code that's built to scale. The user-friendly interface fosters seamless integration of APIs, data models, databases, authentication, and authorization. Built on a flexible, plugin-based architecture, Amplication allows effortless customization of the code and offers a diverse range of integrations. With a strong focus on collaboration, Amplication streamlines team-oriented development, making it an ideal choice for groups of all sizes, from startups to large enterprises. It enables users to concentrate on business logic while handling the heavy lifting of development. Experience the fastest way to develop .NET and Node.js applications with Amplication.

OpenLLM is a platform that helps developers run any open-source Large Language Models (LLMs) as OpenAI-compatible API endpoints, locally and in the cloud. It supports a wide range of LLMs, provides state-of-the-art serving and inference performance, and simplifies cloud deployment via BentoML. Users can fine-tune, serve, deploy, and monitor any LLMs with ease using OpenLLM. The platform also supports various quantization techniques, serving fine-tuning layers, and multiple runtime implementations. OpenLLM seamlessly integrates with other tools like OpenAI Compatible Endpoints, LlamaIndex, LangChain, and Transformers Agents. It offers deployment options through Docker containers, BentoCloud, and provides a community for collaboration and contributions.

Wren Engine is a semantic engine designed to serve as the backbone of the semantic layer for LLMs. It simplifies the user experience by translating complex data structures into a business-friendly format, enabling end-users to interact with data using familiar terminology. The engine powers the semantic layer with advanced capabilities to define and manage modeling definitions, metadata, schema, data relationships, and logic behind calculations and aggregations through an analytics-as-code design approach. By leveraging Wren Engine, organizations can ensure a developer-friendly semantic layer that reflects nuanced data relationships and dynamics, facilitating more informed decision-making and strategic insights.

SynapseML (previously known as MMLSpark) is an open-source library that simplifies the creation of massively scalable machine learning (ML) pipelines. It provides simple, composable, and distributed APIs for various machine learning tasks such as text analytics, vision, anomaly detection, and more. Built on Apache Spark, SynapseML allows seamless integration of models into existing workflows. It supports training and evaluation on single-node, multi-node, and resizable clusters, enabling scalability without resource wastage. Compatible with Python, R, Scala, Java, and .NET, SynapseML abstracts over different data sources for easy experimentation. Requires Scala 2.12, Spark 3.4+, and Python 3.8+.

Scale's LLM Engine is an open-source Python library, CLI, and Helm chart that provides everything you need to serve and fine-tune foundation models, whether you use Scale's hosted infrastructure or do it in your own cloud infrastructure using Kubernetes.

ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference. It aims to offer simple, high-performance ML inference and a good developer experience. Users can provide inference APIs for ONNX models without writing additional code by placing the models in the directory structure. Each session can choose between CPU or CUDA, analyze input/output, and provide Swagger API documentation for easy testing. Ready-to-run Docker images are available, making it convenient to deploy the server.

LLMFlex is a python package designed for developing AI applications with local Large Language Models (LLMs). It provides classes to load LLM models, embedding models, and vector databases to create AI-powered solutions with prompt engineering and RAG techniques. The package supports multiple LLMs with different generation configurations, embedding toolkits, vector databases, chat memories, prompt templates, custom tools, and a chatbot frontend interface. Users can easily create LLMs, load embeddings toolkit, use tools, chat with models in a Streamlit web app, and serve an OpenAI API with a GGUF model. LLMFlex aims to offer a simple interface for developers to work with LLMs and build private AI solutions using local resources.

MindsDB is a platform for customizing AI from enterprise data. You can create, serve, and fine-tune models in real-time from your database, vector store, and application data. MindsDB "enhances" SQL syntax with AI capabilities to make it accessible for developers worldwide. With MindsDB’s nearly 200 integrations, any developer can create AI customized for their purpose, faster and more securely. Their AI systems will constantly improve themselves — using companies’ own data, in real-time.

Caikit is an AI toolkit that enables users to manage models through a set of developer friendly APIs. It provides a consistent format for creating and using AI models against a wide variety of data domains and tasks.

Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. For more information, be sure to check out our Open WebUI Documentation.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are: * `MLflow Tracking `_: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI. * `MLflow Projects `_: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others. * `MLflow Models `_: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker. * `MLflow Model Registry `_: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.

Vespa is a platform that performs operations such as selecting a subset of data in a large corpus, evaluating machine-learned models over the selected data, organizing and aggregating it, and returning it, typically in less than 100 milliseconds, all while the data corpus is continuously changing. It has been in development for many years and is used on a number of large internet services and apps which serve hundreds of thousands of queries from Vespa per second.

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Embedchain is an Open Source Framework for personalizing LLM responses. It simplifies the creation and deployment of personalized AI applications by efficiently managing unstructured data, generating relevant embeddings, and storing them in a vector database. With diverse APIs, users can extract contextual information, find precise answers, and engage in interactive chat conversations tailored to their data. The framework follows the design principle of being 'Conventional but Configurable' to cater to both software engineers and machine learning engineers.

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