What features do you prefer in your conversational AI? Finding the right open-source conversational AI is like balancing on a tightrope. There are many options available and sometimes it is easy to miss those core features that matter most. Be it for bot development or automating customer interactions, having the best open-source conversational AI is of the utmost importance.
The open source conversational AI tools are a crucial part of developers' life. It allows them to make positive changes in AI models. This allows users a personalized conversational experience. But when you have a long list of top-notch tools to choose from, it is always a tricky job to pick one.
Don't worry! We got you covered. Our article will guide you through the top options, so you can make an informed decision.
Top 5 Best Open-Source Conversational AI
What You Should Look for in an Open-Source Conversational AI?
If you are in search of top open-source conversational AI, make sure you look into these five factors:
Natural Language Processing Accuracy
A major factor in any conversational AI involves just how much that AI is capable of understanding and processing human language. The more accurate the NLP, the smoother the conversation. And look for an AI model that can handle complex queries and respond intelligently. This ensures a seamless experience whereby the AI will get slang and context of conversations.
Integration Capabilities
An effective open-source conversational AI would make your life easy by integrating well with other applications. It should work well with tools like CRM systems, websites, or messaging applications. Being able to connect different channels enhances the effectiveness and reach of the AI. This way it can be applied at various touchpoints of your business or project.
Pre-built AI Models
Your open-source software should feature pre-built AI models. This is an added advantage. These will give a huge kick-start rather than building the whole thing from scratch. Be it the pre-trained language models, recognition of intent, or domain-specific responses, these models save time and effort. Moreover, it allows scope for customization.
Scalability
Scalability is important for businesses planning to expand their operations using AI. Your open-source conversational AI should be able to handle increased workloads. At the same time, it should grow your user base or have conversations of higher complexity. This way you don't have to worry about any compromises.
Community Support and Documentation
Skim through the level of community support and documentation when choosing an open-source solution. A strong community means regular updates, bug fixes, and feature additions. Well-documented code will enable you to troubleshoot issues or extend AI functionality. This in turn will make development easier and more predictable.
Open Source Conversational AI No.1: Rasa
Rasa is the leading open-source conversational AI tool on our list. It features NLU and sophisticated dialogue management. It has been designed to build custom, AI-driven chatbots in such a way that developers can actually create flexible conversational agents. Due to its modular architecture and multilingual bot support, it is the perfect choice for businesses.
Key Features
- NLU and Dialogue Management: It provides advanced intent identification. Moreover, it provides the possibility to manage the flow of dialogues for complex interactions.
- Customizable Pipelines: Each stage of the pipeline in conversational AI can be tuned. The developer has complete control of it.
- Multilingual Support: Allows for the creation of conversational agents. Furthermore, it deploys agents into multiple languages efficiently.
- Free and Open Source: It is free and the source code is available. It allows full customization and flexibility.
- Third-Party Integrations: Integrates easily with several other platforms, including CRMs and messaging apps.
People Like It For
- Multilingual capabilities allow for global reach.
- Strong community support and active development.
- Provides real-time conversational insights and analytics.
- Fully open source with no vendor lock-in.
People Dislike It For
- Requires more technical expertise compared to other options.
- Limited out-of-the-box features without customization.
Pricing
- Developer Edition. $0 per month
- Growth. Starting at $35K
Rating
G2 : 4.0/5
Capterra: 4.7/5
Open Source Conversational AI No.2: Edraw.AI
Edraw AI is designed to make complex data visualization and conversation flows easier. It presents a flawless AI Chat. This allows real-time communication by enabling customers to have chats with AI on various topics. Moreover, you get a huge library with more than 26,000 symbols and 700+ templates. The file summary tool condenses large documents into compact mind maps.
Key Features
- AI Chat: It improves real-time communication through intelligent, engaging conversational assistance.
- File Summary: You input a file in the software. Users don't have to worry about huge documents. They can convert them into simple mind maps. These concise mind maps can be analyzed faster.
- Symbols and Templates: It comprises more than 26,000 symbols and 700 templates that enable users to assemble visuals fast.
- AI Diagram Maker: The tool allows diagram creation with automatic input based on a simple sentence or prompt.
- Export Formats: It allows you to convert documents into Visio, Eddx, PDF, PNG, and many other formats. These formats assist you in sharing purposes.
People Like It For
- Extensive symbol and template library.
- Real-time AI chat integration.
- Supports multiple export formats.
- Efficient file summary tool for quick document insights.
- Strong scalability with AI-driven diagram creation.
People Dislike It For
- Requires a premium subscription and tokens to work on AI Chat.
Pricing
While exploring Edraw.AI as your best open source conversational AI tool, you get these pricing plans:
- Free Plan: $0 per month
- Pro Plan. $6.58 per month
- Unlimited Plan. $8.25 per month
Open Source Conversational AI No.3: Botpress
Third in the ranking order is Botpress, powered by a really capable modular architecture. It is suitable for developers to build production-ready chatbots. It provides exhaustive analytics and conversation management. This enables scalable and flexible deployments. This allows Botpress to enable NLU and interface easily with other messengers. Therefore, it is ideal for complex chatbot systems.
Key Features
- Modular Architecture: The architecture is highly customizable. You can develop it for particular functionalities of a chatbot.
- NLU Integration: It presents an inbuilt understanding of natural language. This ensures that the user's inputs are appropriately processed.
- Detailed Analytics: Provides real-time analytics regarding both the performance and conversations of chatbots.
- Multichannel: It integrates very well with messaging platforms such as Slack, Messenger, and more.
- Rich Plugin Repository: It can be extended with plugins for additional features like voice assistants or CRMs.
People Like It For
- Modular design allows for high customization.
- Strong analytics tools for monitoring chatbot performance.
- Seamless integration with various platforms.
- Free and fully open source.
People Dislike It For
- Limited pre-built templates for non-technical users.
- Initial setup can be time-consuming for new users.
- Some advanced features may require additional configuration or third-party tools.
Pricing
- Pay-as-you-go. $0 per month
- Team. $495 per month
Rating
Open Source Conversational AI No.4: Microsoft Bot Framework
Fourth on our list of best AI chat solutions is Microsoft Bot Framework. It is a very powerful SDK to create sophisticated chatbots on a few different channels. It allows using natural language understanding with Azure Cognitive Services. It works seamlessly with many other products from Microsoft.
Key Features
- One-Build Multiple Deployments: You can build once and deploy on multiple platforms. It works with Skype, Slack, and Teams.
- Azure Cognitive Service Integration: Provides the capability for text interpretation in natural language form.
- Bot Builder SDK: Robust SDK for building complex, customized bots.
- Adaptive Dialogs: These provide an interactive flow in the conversations. Moreover, it changes with user inputs.
- Open-source: It grants full access to source code for developers. It provides vast extensibility options.
People Like It For
- Multi-channel deployment allows bots to work on multiple platforms.
- Extensive SDK and documentation for developers.
- Strong Microsoft ecosystem support.
- Adaptive dialogs offer flexibility for dynamic conversations.
People Dislike It For
- Requires familiarity with Microsoft products and services for full utilization.
- Steeper learning curve for non-technical users.
- Limited community compared to other open-source frameworks.
Pricing
- Free. $0 per month
Rating
- G2 : 4.5/5
Open Source Conversational AI No.5: OpenDialog
Context-Driven Conversation Design
OpenDialog secures the last position due to its uniqueness in building conversational agents. It allows the creation of context-driven conversations with its intuitive platform. It offers a flexible conversation design. The tool also allows integration with external APIs. This helps extend the use of conversational AI for more advanced cases.
Key Features
- Contextual Conversation Design: This allows the designer to work on context-driven dialogues.
- API Integrations: Integrates well with other external APIs for more usability.
- Flexible Conversation Models: Produce reusable conversational models across multiple scenarios.
- Graphical User Interface: The code supports a user-friendly graphical interface. This helps create and handle the conversations.
People Like It For
- Strong support for context-based dialogues, improving conversation flow.
- Flexible and customizable, suitable for various industries and use cases.
- Integration capabilities with external APIs expand functionality.
- The graphical interface simplifies conversation building for non-technical users.
People Dislike It For
- Smaller community compared to other open-source platforms.
- May lack certain advanced AI-driven features out of the box.
Pricing
- Free. $0 per month
Rating
- G2 : 4.3/5
Final Remarks
The right kind of open-source conversational AI can eventually change how you deal with communications. Moreover, it simplifies processes and improves the user experience. Each of the tools in the list has its strengths. Edraw.AI stands out for its strong AI mind mapping and real-time communication. These solutions give you the flexibility to shape your AI systems effectively.
From control to customization, and scalability, our list has tools for any need. With our tools, you get the best open source conversational AI options without worrying about performance loss. So, why wait? Try one of these open-source conversational AI tools today and get your projects to thrive!
