Find and compare the best Artificial Intelligence software for LlamaIndex in 2025
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Use the comparison tool below to compare the top Artificial Intelligence software for LlamaIndex on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Notion is a versatile platform that centralizes knowledge management, project tracking, and document creation into one workspace. By combining collaborative features like customizable templates, task management tools, and AI-powered insights, Notion helps teams stay organized and efficient. It also integrates seamlessly with various external tools and offers a user-friendly interface for managing everything from daily tasks to long-term goals, making it ideal for businesses and individuals looking for a highly adaptable and centralized workspace solution.
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OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.
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Claude is an artificial intelligence language model that can generate text with human-like processing. Anthropic is an AI safety company and research firm that focuses on building reliable, interpretable and steerable AI systems. While large, general systems can provide significant benefits, they can also be unpredictable, unreliable and opaque. Our goal is to make progress in these areas. We are currently focusing on research to achieve these goals. However, we see many opportunities for our work in the future to create value both commercially and for the public good.
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Langfuse is a free and open-source LLM engineering platform that helps teams to debug, analyze, and iterate their LLM Applications. Observability: Incorporate Langfuse into your app to start ingesting traces. Langfuse UI : inspect and debug complex logs, user sessions and user sessions Langfuse Prompts: Manage versions, deploy prompts and manage prompts within Langfuse Analytics: Track metrics such as cost, latency and quality (LLM) to gain insights through dashboards & data exports Evals: Calculate and collect scores for your LLM completions Experiments: Track app behavior and test it before deploying new versions Why Langfuse? - Open source - Models and frameworks are agnostic - Built for production - Incrementally adaptable - Start with a single LLM or integration call, then expand to the full tracing for complex chains/agents - Use GET to create downstream use cases and export the data
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Although everyone talks about generative AI and how it will change writing, most AI tools are prompt-based and take away the writer's control. Wordtune is the only AI assistant that maximizes your professional writing abilities. The writing process in Wordtune is iterative. As you write, you add more with Wordtune, edit, and so on until you reach the final piece.
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CodeQwen
Alibaba
FreeCodeQwen, developed by the Qwen Team, Alibaba Cloud, is the code version. It is a transformer based decoder only language model that has been pre-trained with a large number of codes. A series of benchmarks shows that the code generation is strong and that it performs well. Supporting long context generation and understanding with a context length of 64K tokens. CodeQwen is a 92-language coding language that provides excellent performance for text-to SQL, bug fixes, and more. CodeQwen chat is as simple as writing a few lines of code using transformers. We build the tokenizer and model using pre-trained methods and use the generate method for chatting. The chat template is provided by the tokenizer. Following our previous practice, we apply the ChatML Template for chat models. The model will complete the code snippets in accordance with the prompts without any additional formatting. -
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SWE-Kit
Composio
$49 per monthSweKit lets you build PR agents that review code, suggest improvement, enforce coding standard, identify potential issues and automate merge approvals. This streamlines the review process while improving code quality. Automate the creation of new features, debugging complex issues, creating and running tests, optimizing code for performance, maintainingability, and ensuring best practices across codebases, accelerating development. Use advanced code indexing and intelligent file navigation to explore and interact with huge codebases. Ask questions, track dependencies, uncover logic flow, and gain instant insight, enabling seamless communications with complex code structures. Keep your documentation up-to-date with your code. Update Mintlify documentation automatically whenever code changes are made. This ensures that your documentation is accurate, current, and ready for you and your team. -
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Zep
Zep
FreeZep will ensure that your assistant remembers previous conversations and brings them up when they are relevant. In milliseconds, you can identify your user's intention, create semantic routers and trigger events. Emails, phone number, dates, names and more are extracted quickly and accurately. Your assistant will never lose track of a user. Classify intent, emotions, and more, and convert dialog into structured data. Your users will never have to wait. We do not send your data to a third-party LLM service. SDKs for all your favorite frameworks and languages. Automatically populate prompts, no matter how far back they are, with a summary relevant past conversations. Zep summarizes and embeds your Assistant's chat logs. It then executes retrieval pipelines. Instantly and accurately categorize chat dialog. Understanding user intent and emotion. Route chains based upon semantic context and trigger events. Extract business data quickly from chat conversations. -
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AgentOps
AgentOps
$40 per monthPlatform for AI agents testing and debugging by the industry's leading developers. We developed the tools, so you don't need to. Visually track events, such as LLM, tools, and agent interactions. Rewind and playback agent runs with pinpoint precision. Keep a complete data trail from prototype to production of logs, errors and prompt injection attacks. Native integrations with top agent frameworks. Track, save and monitor each token that your agent sees. Monitor and manage agent spending using the most recent price monitoring. Save up to 25x on specialized LLMs by fine-tuning them based on completed completions. Build your next agent using evals and replays. You can visualize the behavior of your agents in your AgentOps dashboard with just two lines of coding. After you set up AgentOps each execution of your program will be recorded as a "session" and the data will automatically be recorded for you. -
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Opik
Comet
$39 per monthWith a suite observability tools, you can confidently evaluate, test and ship LLM apps across your development and production lifecycle. Log traces and spans. Define and compute evaluation metrics. Score LLM outputs. Compare performance between app versions. Record, sort, find, and understand every step that your LLM app makes to generate a result. You can manually annotate and compare LLM results in a table. Log traces in development and production. Run experiments using different prompts, and evaluate them against a test collection. You can choose and run preconfigured evaluation metrics, or create your own using our SDK library. Consult the built-in LLM judges to help you with complex issues such as hallucination detection, factuality and moderation. Opik LLM unit tests built on PyTest provide reliable performance baselines. Build comprehensive test suites for every deployment to evaluate your entire LLM pipe-line. -
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Arize Phoenix
Arize AI
FreePhoenix is a free, open-source library for observability. It was designed to be used for experimentation, evaluation and troubleshooting. It allows AI engineers to visualize their data quickly, evaluate performance, track issues, and export the data to improve. Phoenix was built by Arize AI and a group of core contributors. Arize AI is the company behind AI Observability Platform, an industry-leading AI platform. Phoenix uses OpenTelemetry, OpenInference, and other instrumentation. The main Phoenix package arize-phoenix. We offer a variety of helper packages to suit specific use cases. Our semantic layer adds LLM telemetry into OpenTelemetry. Automatically instrumenting popular package. Phoenix's open source library supports tracing AI applications via manual instrumentation, or through integrations LlamaIndex Langchain OpenAI and others. LLM tracing records requests' paths as they propagate across multiple steps or components in an LLM application. -
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Lunary
Lunary
$20 per monthLunary is a platform for AI developers that helps AI teams to manage, improve and protect chatbots based on Large Language Models (LLM). It includes features like conversation and feedback tracking as well as analytics on costs and performance. There are also debugging tools and a prompt directory to facilitate team collaboration and versioning. Lunary integrates with various LLMs, frameworks, and languages, including OpenAI, LangChain and JavaScript, and offers SDKs in Python and JavaScript. Guardrails to prevent malicious prompts or sensitive data leaks. Deploy Kubernetes/Docker in your VPC. Your team can judge the responses of your LLMs. Learn what languages your users speak. Experiment with LLM models and prompts. Search and filter everything in milliseconds. Receive notifications when agents do not perform as expected. Lunary's core technology is 100% open source. Start in minutes, whether you want to self-host or use the cloud. -
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DeepEval
Confident AI
FreeDeepEval is an open-source, easy-to-use framework for evaluating large-language-model systems. It is similar Pytest, but is specialized for unit-testing LLM outputs. DeepEval incorporates research to evaluate LLM results based on metrics like G-Eval (hallucination), answer relevancy, RAGAS etc. This uses LLMs as well as various other NLP models which run locally on your computer for evaluation. DeepEval can handle any implementation, whether it's RAG, fine-tuning or LangChain or LlamaIndex. It allows you to easily determine the best hyperparameters for your RAG pipeline. You can also prevent drifting and even migrate from OpenAI to your own Llama2 without any worries. The framework integrates seamlessly with popular frameworks and supports synthetic dataset generation using advanced evolution techniques. It also allows for efficient benchmarking and optimizing of LLM systems. -
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HumanLayer
HumanLayer
$500 per monthHumanLayer is a SDK and API that allows AI agents to communicate with humans for feedback, input and approvals. It ensures human oversight of high stakes function calls, with approval workflows on Slack, emails, and more. HumanLayer integrates with your Large Language Model (LLM), framework, and other tools to give AI agents safe access to the rest of the world. The platform supports a variety of frameworks and LLMs including LangChain (LangChain), CrewAI (ControlFlow), LlamaIndex (LlamaIndex), Haystack (OpenAI), Claude, Llama3.1(Llama3.1), Mistral, Gemini and Cohere. HumanLayer features include approval workflows, integration of humans as tools, and custom responses that escalate. Pre-fill responses for seamless human-agent interaction. Control which users are able to approve or respond to LLM request. Invert the control flow, from human-initiated requests to agent-initiated ones. Add human contact channels to the toolchain of your agent. -
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ScrapFly
ScrapFly
$30 per monthScrapfly is a collection of APIs that streamlines web data collection. Their web scraping interface allows for efficient extraction of web page data, while handling challenges such as anti-scraping and JavaScript rendering. The Extraction API uses AI and large language model to parse and extract structured data from documents, while the screenshot API captures high-quality visuals on web pages. These tools are designed to scale, ensuring performance and reliability as data requirements grow. Scrapfly offers comprehensive documentation, SDKs for Python and TypeScript and integrations with platforms such as Zapier and Make, to facilitate seamless integration in various workflows. -
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ScrapeGraphAI
ScrapeGraphAI
$20 per monthScrapeGraphAI, an AI-powered platform for web scraping, transforms unstructured content into clean and organized JSON data. It is designed for AI agents with large language models and allows users to extract data using natural language instructions from various websites including ecommerce, social media and dynamic web apps. The platform provides a simple API and official SDKs in Python, JavaScript, TypeScript to facilitate quick setups without complex configurations. ScrapeGraphAI automatically adapts to changes in websites, ensuring reliable data capture. It is designed for scalability and includes automatic proxy rotation and rate-limiting. This makes it suitable for startups and enterprises. The platform is based on a transparent usage-based pricing system, with a free tier that scales according to the user's needs. ScrapeGraphAI also provides an open-source Python library that uses large language models and graph logic. -
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Mem0
Mem0
$249 per monthMem0 is an auto-improving memory system designed for Large Language Model applications (LLM). It enables personalized AI experiences, which save costs and delight the users. It adapts to each user's needs and continuously improves. Key features include enhancing conversations in the future by building smarter AI, which learns from each interaction, reducing LLM by up to 80% with intelligent data filtering and delivering more accurate and personal AI outputs through historical context. It also offers easy integration compatible platforms like OpenAI or Claude. Mem0 is ideal for projects like customer support where chatbots can remember past interactions and reduce repetition to speed up resolution time; personal AI companions who recall preferences and previous conversations to create more meaningful interactions; AI agent that learns from each interaction and becomes more personalized and effective with time. -
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E2B
E2B
FreeE2B is a runtime that's open source and designed to execute AI-generated code in isolated cloud sandboxes. It allows developers to integrate code-interpretation capabilities into their AI agents and applications, allowing them to execute dynamic code snippets within a controlled environment. The platform supports multiple languages, including Python, JavaScript, and SDKs to ensure seamless integration. E2B uses Firecracker microVMs for robust security and isolation of code execution. Developers can use E2B in their own infrastructure, or the cloud service provided. The platform is LLM-agnostic and compatible with a variety of large language models, including OpenAI, Llama Anthropic and Mistral. E2B features include rapid sandbox creation, customizable execution environments and support for sessions lasting up to 24 hours. -
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AI SDR-Kit
Composio
$29 per monthAI SDR Kit by Composio provides a powerful platform for businesses and developers to create AI-powered agents that automate sales workflows. The solution is designed for lead generation, outreach and CRM management tasks, as well as pipeline enrichment. It allows businesses to automate prospecting with personalized templates, email outreach, market research and meeting scheduling. AI SDR Kit allows users to integrate with 60 popular CRM apps and sales apps including Salesforce, HubSpot and Gmail in order to streamline their sales operations. The platform provides managed authentication and automated data enrichment, ensuring secure email delivery. The AI agents in the tool can also analyze data from the market, enhance CRM data and improve overall sales efficiency. Composio's sales solution supports a variety of sales activities from automated lead identification to sales automation. It is scalable for businesses of all sizes. -
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Databricks Data Intelligence Platform
Databricks
The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question. -
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Stable Diffusion
Stability AI
$0.2 per imageWe have all been overwhelmed by the response over the past few weeks and have been hard at work to ensure a safe release. We have incorporated data from our beta models and community for developers to use. HuggingFace's tireless legal, technology and ethics teams and CoreWeave's brilliant engineers worked together. An AI-based Safety Classifier has been developed and is included as a default feature in the overall software package. This can understand concepts and other factors over generations to remove outputs that are not desired by the model user. This can be easily adjusted, and we welcome suggestions from the community on how to improve it. Although image generation models are powerful, we still need to improve our understanding of how to best represent what we want. -
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endoftext
endoftext
$20 per monthWith suggested edits, prompts rewritten, and automatically generated tests, you can eliminate the guesswork from prompt engineering. We run dozens analyses on your prompts and data in order to identify limitations and implement fixes. Detect issues with prompts and possible improvements. Rewrite prompts automatically with AI-generated fixes. Save time by not writing test cases. We create high-quality examples for you to test and guide your prompts. Identify ways to improve your prompts. Automate the rewriting of your prompts by AI to fix limitations. Create diverse test cases to validate and guide updates. Use your optimized prompts for models and tools. -
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HoneyHive
HoneyHive
AI engineering does not have to be a mystery. You can get full visibility using tools for tracing and evaluation, prompt management and more. HoneyHive is a platform for AI observability, evaluation and team collaboration that helps teams build reliable generative AI applications. It provides tools for evaluating and testing AI models and monitoring them, allowing engineers, product managers and domain experts to work together effectively. Measure the quality of large test suites in order to identify improvements and regressions at each iteration. Track usage, feedback and quality at a large scale to identify issues and drive continuous improvements. HoneyHive offers flexibility and scalability for diverse organizational needs. It supports integration with different model providers and frameworks. It is ideal for teams who want to ensure the performance and quality of their AI agents. It provides a unified platform that allows for evaluation, monitoring and prompt management. -
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AI Crypto-Kit
Composio
AI Crypto-Kit enables developers to create crypto agents by seamlessly integrating Web3 platforms such as Coinbase, OpenSea and more, to automate real world crypto/DeFi workflows. Developers can create AI-powered crypto automation within minutes, including applications like trading agents, community rewards systems, Coinbase wallets, portfolio tracking, market analyses, and yield farming. The platform includes features designed for crypto agents. These include fully managed agent authentication, with support for API keys, JWT and automatic token refreshing; optimization for LLM call-outs to provide enterprise-grade reliability; integration with over 30 Web3 platforms including Binance Aave OpenSea and Chainlink, as well as SDKs and TypeScript APIs for agentic apps interactions. -
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NVIDIA Blueprints
NVIDIA
NVIDIA Blueprints provide reference workflows to support agentic and generative AI. Blueprints and NVIDIA AI, Omniverse libraries, SDKs and microservices allow enterprises to build and operationalize custom AI apps, creating data driven AI flywheels. Blueprints include partner microservices as well as reference code, customization documentation and a Helm Chart for deployment. NVIDIA Blueprints offers developers a unified experience that spans the NVIDIA stack from cloud and datacenters to NVIDIA AI PCs and Workstations. NVIDIA Blueprints can be used to create AI agents capable of solving complex problems using sophisticated reasoning and iterative planing. NVIDIA Blueprints provide millions of enterprise developers reference workflows to build and deploy generative AI applications. Connect AI applications with enterprise data by using embedding and ranking models that are industry-leading for information retrieval.