Use Relevance AI with Llamaindex Python

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Relevance AI is a no-code platform that enables users to build and deploy machine learning models easily without requiring extensive machine learning expertise.

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1. 🔑 Connect your Relevance AI acc

2. ✅ Select an action

3. 🚀 Go live with the agent

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API actions for Relevance AI for AI assitants/agents

Language

PYTHON

Framework

Create Dataset

Creates a new dataset in Relevance AI

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_DATASET])

Upload Documents

Uploads documents to a specified dataset

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPLOAD_DOCUMENTS])

Search Documents

Performs a search query on a dataset

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SEARCH_DOCUMENTS])

Delete Dataset

Deletes a specified dataset

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DELETE_DATASET])

Update Document

Updates a specific document in a dataset

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.UPDATE_DOCUMENT])

Create Vector

Creates a vector representation of data

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_VECTOR])

Cluster Documents

Performs clustering on documents in a dataset

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CLUSTER_DOCUMENTS])

Generate Embeddings

Generates embeddings for text data

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_EMBEDDINGS])

Create Index

Creates a new index for faster searching

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CREATE_INDEX])

Perform Sentiment Analysis

Analyzes the sentiment of text data

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SENTIMENT_ANALYSIS])

Extract Keywords

Extracts key terms from text data

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.EXTRACT_KEYWORDS])

Classify Text

Classifies text into predefined categories

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CLASSIFY_TEXT])

Summarize Text

Generates a summary of longer text

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SUMMARIZE_TEXT])

Perform Entity Recognition

Identifies and extracts named entities from text

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ENTITY_RECOGNITION])

Generate Report

Creates a report based on dataset analysis

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.GENERATE_REPORT])

New Document Added

Triggers when a new document is added to a dataset

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_DOCUMENT_ADDED])

Dataset Updated

Triggers when changes are made to a dataset

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DATASET_UPDATED])

Search Query Performed

Triggers when a search query is executed

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SEARCH_QUERY_PERFORMED])

Clustering Completed

Triggers when a clustering operation is finished

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CLUSTERING_COMPLETED])

Sentiment Score Changed

Triggers when sentiment score of a document changes

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SENTIMENT_SCORE_CHANGED])

New Category Detected

Triggers when a new category is identified in classification

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_CATEGORY_DETECTED])

Anomaly Detected

Triggers when an anomaly is detected in the data

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.ANOMALY_DETECTED])

Similarity Threshold Reached

Triggers when document similarity reaches a set threshold

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SIMILARITY_THRESHOLD_REACHED])

Dataset Size Threshold

Triggers when a dataset reaches a specified size

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DATASET_SIZE_THRESHOLD])

New Trend Identified

Triggers when a new trend is identified in the data

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_TREND_IDENTIFIED])

Data Quality Alert

Triggers when data quality issues are detected

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.DATA_QUALITY_ALERT])

Scheduled Report Generated

Triggers when a scheduled report is generated

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.SCHEDULED_REPORT_GENERATED])

API Usage Limit Reached

Triggers when API usage reaches a set limit

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.API_USAGE_LIMIT_REACHED])

New Integration Connected

Triggers when a new integration is connected to Relevance AI

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.NEW_INTEGRATION_CONNECTED])

Model Training Completed

Triggers when a machine learning model completes training

from composio_llamaindex import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.MODEL_TRAINING_COMPLETED])

Frequently asked questions

What is Composio.dev?

Composio.dev is a cutting-edge framework for building AI applications, designed to make the process of developing AI solutions super easy and fun! It's a collection of powerful tools and libraries that simplify the process of creating AI applications, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support Relevance AI?

Composio.dev seamlessly integrates with Relevance AI, making it a breeze to leverage its capabilities within the Composio.dev platform. You can use Relevance AI to call functions on various platforms like Google, GitHub, and others, allowing you to incorporate different services into your AI applications with ease. It also supports user login via OAuth2 and can work with other popular frameworks such as LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with Relevance AI and llamaindex_python?

When using Relevance AI and llamaindex_python, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate Relevance AI with llamaindex_python?

Integrating Relevance AI with llamaindex_python is super easy with Composio.dev! You can use the Composio.dev API to call functions from both Relevance AI and llamaindex_python, allowing you to tap into their capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with the language you're most comfortable with and integrate these powerful tools into your projects seamlessly.

What is the pricing for Relevance AI and llamaindex_python?

Both Relevance AI and llamaindex_python are completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes them accessible for developers and organizations of all sizes, whether you're a student working on a personal project or a startup building the next big thing. You can get started with these powerful tools without worrying about breaking the bank.

What kind of authentication is supported for Relevance AI and llamaindex_python?

Relevance AI and llamaindex_python support OAuth2 authentication, ensuring secure and authorized access to their functionalities. You can use the Composio.dev API to handle authentication and call functions from both Relevance AI and llamaindex_python seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add Relevance AI to my project?

Absolutely! You can easily incorporate Relevance AI into your project by utilizing the Composio.dev API. This API allows you to call functions from both Relevance AI and llamaindex_python, enabling you to leverage their capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add these powerful tools to your project with ease.

What is the accuracy of Relevance AI and llamaindex_python?

Relevance AI and llamaindex_python are designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. The comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for Relevance AI and llamaindex_python?

Relevance AI and llamaindex_python can be used for a wide range of AI applications, making them versatile tools for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. They're particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, these tools can help you bring your ideas to life.

How does Relevance AI handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and Relevance AI takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. Relevance AI provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using Relevance AI for your AI development needs.

Can I customize Relevance AI and llamaindex_python for my specific needs?

Absolutely! Relevance AI and llamaindex_python are highly customizable and extensible, allowing you to tailor their functionality, models, and configurations to meet your specific requirements. Whether you're building a chatbot, a content creation tool, or any other AI-powered application, you can customize these tools to fit your unique needs. Additionally, Composio.dev provides a flexible platform for integrating and orchestrating various AI tools and services, enabling you to create custom AI solutions that are tailored to your project.

What kind of support and documentation is available for Relevance AI and llamaindex_python?

Relevance AI and llamaindex_python have comprehensive documentation and a supportive community, making it easy for you to get started and find answers to your questions. Composio.dev also provides extensive resources, including tutorials, guides, and a dedicated support team to assist you throughout your AI development journey. Whether you're a beginner or an experienced developer, you'll have access to the resources you need to make the most of these powerful tools.