Best Retrieval-Augmented Generation (RAG) Software for JavaScript
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Compare the Top Retrieval-Augmented Generation (RAG) Software that integrates with JavaScript as of July 2025
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This a list of Retrieval-Augmented Generation (RAG) software that integrates with JavaScript. Use the filters on the left to add additional filters for products that have integrations with JavaScript. View the products that work with JavaScript in the table below.
What is Retrieval-Augmented Generation (RAG) Software for JavaScript?
Retrieval-Augmented Generation (RAG) tools are advanced AI systems that combine information retrieval with text generation to produce more accurate and contextually relevant outputs. These tools first retrieve relevant data from a vast corpus or database, and then use that information to generate responses or content, enhancing the accuracy and detail of the generated text. RAG tools are particularly useful in applications requiring up-to-date information or specialized knowledge, such as customer support, content creation, and research. By leveraging both retrieval and generation capabilities, RAG tools improve the quality of responses in tasks like question-answering and summarization. This approach bridges the gap between static knowledge bases and dynamic content generation, providing more reliable and context-aware results. Compare and read user reviews of the best Retrieval-Augmented Generation (RAG) software for JavaScript currently available using the table below. This list is updated regularly.
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1
Vertex AI
Google
Vertex AI Search is a powerful, scalable enterprise search solution from Google Cloud, designed to deliver Google-quality search experiences across websites, intranets, and custom applications. The platform leverages advanced crawling, document understanding, and generative AI capabilities to provide highly relevant search results. It integrates seamlessly with existing business systems and supports features like real-time updates, vector search, and RAG (Retrieval Augmented Generation) for enhancing generative AI applications. Vertex AI Search is tailored for industries such as retail, healthcare, and media, offering specialized solutions that improve both search performance and customer engagement.Starting Price: Free ($300 in free credits) -
2
Mistral AI
Mistral AI
Mistral AI is a pioneering artificial intelligence startup specializing in open-source generative AI. The company offers a range of customizable, enterprise-grade AI solutions deployable across various platforms, including on-premises, cloud, edge, and devices. Flagship products include "Le Chat," a multilingual AI assistant designed to enhance productivity in both personal and professional contexts, and "La Plateforme," a developer platform that enables the creation and deployment of AI-powered applications. Committed to transparency and innovation, Mistral AI positions itself as a leading independent AI lab, contributing significantly to open-source AI and policy development.Starting Price: Free -
3
Cohere
Cohere AI
Cohere is an enterprise AI platform that enables developers and businesses to build powerful language-based applications. Specializing in large language models (LLMs), Cohere provides solutions for text generation, summarization, and semantic search. Their model offerings include the Command family for high-performance language tasks and Aya Expanse for multilingual applications across 23 languages. Focused on security and customization, Cohere allows flexible deployment across major cloud providers, private cloud environments, or on-premises setups to meet diverse enterprise needs. The company collaborates with industry leaders like Oracle and Salesforce to integrate generative AI into business applications, improving automation and customer engagement. Additionally, Cohere For AI, their research lab, advances machine learning through open-source projects and a global research community.Starting Price: Free -
4
HyperCrawl
HyperCrawl
HyperCrawl is the first web crawler designed specifically for LLM and RAG applications and develops powerful retrieval engines. Our focus was to boost the retrieval process by eliminating the crawl time of domains. We introduced multiple advanced methods to create a novel approach to building an ML-first web crawler. Instead of waiting for each webpage to load one by one (like standing in line at the grocery store), it asks for multiple web pages at the same time (like placing multiple online orders simultaneously). This way, it doesn’t waste time waiting and can move on to other tasks. By setting a high concurrency, the crawler can handle multiple tasks simultaneously. This speeds up the process compared to handling only a few tasks at a time. HyperLLM reduces the time and resources needed to open new connections by reusing existing ones. Think of it like reusing a shopping bag instead of getting a new one every time.Starting Price: Free -
5
Llama 3.2
Meta
The open-source AI model you can fine-tune, distill and deploy anywhere is now available in more versions. Choose from 1B, 3B, 11B or 90B, or continue building with Llama 3.1. Llama 3.2 is a collection of large language models (LLMs) pretrained and fine-tuned in 1B and 3B sizes that are multilingual text only, and 11B and 90B sizes that take both text and image inputs and output text. Develop highly performative and efficient applications from our latest release. Use our 1B or 3B models for on device applications such as summarizing a discussion from your phone or calling on-device tools like calendar. Use our 11B or 90B models for image use cases such as transforming an existing image into something new or getting more information from an image of your surroundings.Starting Price: Free -
6
Llama 3.3
Meta
Llama 3.3 is the latest iteration in the Llama series of language models, developed to push the boundaries of AI-powered understanding and communication. With enhanced contextual reasoning, improved language generation, and advanced fine-tuning capabilities, Llama 3.3 is designed to deliver highly accurate, human-like responses across diverse applications. This version features a larger training dataset, refined algorithms for nuanced comprehension, and reduced biases compared to its predecessors. Llama 3.3 excels in tasks such as natural language understanding, creative writing, technical explanation, and multilingual communication, making it an indispensable tool for businesses, developers, and researchers. Its modular architecture allows for customizable deployment in specialized domains, ensuring versatility and performance at scale.Starting Price: Free -
7
Intuist AI
Intuist AI
Intuist.ai is a platform that simplifies AI deployment by enabling users to build and deploy secure, scalable, and intelligent AI agents in three simple steps. First, users select from various agent types, including customer support, data analysis, and planning. Next, they add data sources such as webpages, documents, Google Drive, or APIs to power their AI agents. Finally, they train and deploy the agents as JavaScript widgets, webpages, or APIs as a service. It offers enterprise-grade security with granular user access controls and supports diverse data sources, including websites, documents, APIs, audio, and video. Customization options allow for brand-specific identity features, and comprehensive analytics provide actionable insights. Integration is seamless, with robust Retrieval-Augmented Generation (RAG) APIs and a no-code platform for quick deployments. Enhanced engagement features include embeddable agents for instant website integration. -
8
Nuclia
Nuclia
The AI search engine delivers the right answers from your text, documents and video. Get 100% out-of-the-box AI search and generative answers from your documents, texts, and videos while keeping your data privacy intact. Nuclia automatically indexes your unstructured data from any internal and external source, providing optimized search results and generative answers. It can handle video and audio transcription, image content extraction, and document parsing. Allow your users to search your data not only by keywords but also using natural language, in almost any language, and get the right answers. Effortlessly generate AI search results and answers from any data source. Use our low-code web component to integrate Nuclia’s AI-powered search in any application or use our open SDK to create your own front-end. Integrate Nuclia in your application in less than a minute. Choose the way to upload data to Nuclia from any source, in any language, in almost any format. -
9
Second State
Second State
Fast, lightweight, portable, rust-powered, and OpenAI compatible. We work with cloud providers, especially edge cloud/CDN compute providers, to support microservices for web apps. Use cases include AI inference, database access, CRM, ecommerce, workflow management, and server-side rendering. We work with streaming frameworks and databases to support embedded serverless functions for data filtering and analytics. The serverless functions could be database UDFs. They could also be embedded in data ingest or query result streams. Take full advantage of the GPUs, write once, and run anywhere. Get started with the Llama 2 series of models on your own device in 5 minutes. Retrieval-argumented generation (RAG) is a very popular approach to building AI agents with external knowledge bases. Create an HTTP microservice for image classification. It runs YOLO and Mediapipe models at native GPU speed.
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