Eden AIWhat is Chatbot API?
An Intelligent Chatbot API, also called Automated Messaging Bots, is a programming interface that allows developers to incorporate chatbot functionality into their programs, websites, or services. These systems, also known as Conversational AI APIs, enable developers to access the natural language processing (NLP) capacities of pre-trained language models or chatbot services to conduct NLP activities and create responses to user queries.
They can interpret user input, extract intent, and generate meaningful responses. Developers can employ AI Chatbot Application Programming Interfaces (APIs) to create apps that can parse and respond to user questions using natural language. These APIs often utilize massive language models to produce human-like replies.
Top Open Source (Free) AI Chatbot models on the market
For users seeking a cost-effective engine, opting for an open-source model is the recommended choice. Here is the list of the best Intelligent Chatbot Open Source Models:
1. BotPress
BotPress is an open-source chatbot framework that provides a visual interface for building and managing chatbots. It supports both text-based and voice-based interactions.
2. Rasa
Rasa is an all-encompassing, open-source platform developed for the creation of conversational AI applications. Its primary components consist of Rasa NLU, which is responsible for the analysis of natural language input by extracting user intent and entities, andRasa Core. Rasa Core manages dialogues and enables the creation of conversation flows. This includes the handling of multi-turn conversations.
3. ChatterBot
ChatterBot is a straightforward Python library used to construct chatbots. It is formulated from structured rules and training data. Users may train the bot with their own dataset or make use of pre-made models.
4. Amazon Lex
A fully-managed open source AI chatbot is available to integrate a conversational interface into your preferred application. The chatbot employs advanced Amazon technologies for optimal results.
5. Microsoft BotKit
In 2018, Microsoft acquired an open-source AI chatbot and significantly enhanced its functionalities. Its popularity among developers stems from the chatbot's comprehensive documentation, empowering them to develop and fine-tune it.
6. Botonic
A serverless full-stack framework, merging React and Tensorflow.js, is introduced to enhance user experiences in text and graphical interfaces.
7. DeepPavlov
DeepPavlov is an open-source conversational AI library constructed on PyTorch. Its design is for the progressive development of chatbots and intricate conversational systems destined for production, as well as research concerning natural language processing (NLP) and, in particular, dialogue systems.
8. BotMan
BotMan is a PHP library that is designed to make it easier to develop bots on various messaging platforms, such as Facebook Messenger, HipChat, Microsoft Bot Framework, Nexmo, Slack, Telegram and WeChat. It is framework-agnostic and can help create innovative bots that are offered by messaging platforms.
Cons of Using Open Source AI models
While open source models offer many advantages, they also come with some potential drawbacks and challenges. Here are some cons of using open source models:
- Not Entirely Cost Free: Open-source models, while providing valuable resources to users, may not always be entirely free of cost. Users often need to bear expenses related to hosting and server usage, especially when dealing with large or resource-intensive data sets.
- Lack of Support: Open source models may not have official support channels or dedicated customer support teams. If you encounter issues or need assistance, you might have to rely on community forums or the goodwill of volunteers, which can be less reliable than commercial support.
- Limited Documentation: Some open source models may have incomplete or poorly maintained documentation. This can make it difficult for developers to understand how to use the model effectively, leading to frustration and wasted time.
- Security Concerns: Security vulnerabilities can exist in open source models, and it may take longer for these issues to be addressed compared to commercially supported models. Users of open source models may need to monitor for security updates and patches actively.
- Scalability and Performance: Open source models may not be as optimized for performance and scalability as commercial models. If your application requires high performance or needs to handle a large number of requests, you may need to invest more time in optimization.
Why choose Eden AI?
Given the potential costs and challenges related to open-source models, one cost-effective solution is to use APIs. Eden AI smoothens the incorporation and implementation of AI technologies with its API, connecting to multiple AI engines.
Eden AI presents a broad range of AI APIs on its platform, customized to suit your specific needs and financial limitations. These technologies include data parsing, language identification, sentiment analysis, logo recognition, question answering, data anonymization, speech recognition, and numerous other capabilities.
To get started, we offer free $10 credits for you to explore our APIs.
Access Conversational AI providers with one API
Our standardized API enables you to integrate Chatbot APIs into your system with ease by utilizing various providers on Eden AI. Here is the list (in alphabetical order):
- Google Bard
- OpenAI
- Replicate
1. Google Bard- Available on Eden AI
Google Bard is a smart language system that uses PaLM and LaMDA's advancements. It has an edge as it trains with "infiniset," which is a vast collection of data that makes its dialogue support more natural and helpful. Bard can also retrieve current information over the internet while in conversation.
ChatGPT, in comparison, depends on a 2021 fixed dataset, which may not have the latest information. Although ChatGPT creates logical responses, Bard exceeds it by providing genuine and intelligent search outcomes, and even merging novel details for a thorough and precise response.
The Google Bard API remains in beta and is available only for a restricted number of users. However, it is predicted to become more extensively accessible as it undergoes further enhancement and polish.
2. OpenAI- Available on Eden AI
The GPT-3 API from OpenAI is a powerful language model that can be used for chatbots. It can perform various natural language processing tasks and produce human-like writing. The API was designed to be user-friendly and adaptable, helping machine learning teams work more efficiently.
Many of their teams are currently using the API, so you can focus on machine learning research rather than problems with distributed systems. Today's API uses weights from the GPT-3 family and runs models with them at much higher speeds and throughput. To provide better service to our customers, machine learning is constantly improving its technology.
3. Replicate- Available on Eden AI
Creating a working copy of a chatbot's interface for use in another application is the primary aim of chatbot API replication. Developers can add the chatbot's abilities, including natural language processing, conversation management, and response creation, to their applications, expanding the bot's features' range and usefulness while preserving its original behavior and interactions.
Pricing Structure for AI Chatbot API Providers
Eden AI offers a user-friendly platform for evaluating pricing information from diverse API providers and monitoring price changes over time. As a result, keeping up-to-date with the latest pricing is crucial. The pricing chart below outlines the rates for smaller quantities for November 2023, as well as you can get discounts for potentially large volumes.
Check the current prices on Eden AI
How Eden AI can help you?
Eden AI is the future of AI usage in companies: our app allows you to call multiple AI APIs.
- Centralized and fully monitored billing on Eden AI for Chatbot APIs
- Unified API for all providers: simple and standard to use, quick switch between providers, access to the specific features of each provider
- Standardized response format: the JSON output format is the same for all suppliers thanks to Eden AI's standardization work. The response elements are also standardized thanks to Eden AI's powerful matching algorithms.
- The best Artificial Intelligence APIs in the market are available: big cloud providers (Google, AWS, Microsoft, and more specialized engines)
- Data protection: Eden AI will not store or use any data. Possibility to filter to use only GDPR engines.
You can see Eden AI documentation here.
Next step in your project
The Eden AI team can help you with your AI Conversational bot integration project. This can be done by :
- Organizing a product demo and a discussion to better understand your needs. You can book a time slot on this link: Contact
- By testing the public version of Eden AI for free: however, not all providers are available on this version. Some are only available on the Enterprise version.
- By benefiting from the support and advice of a team of experts to find the optimal combination of providers according to the specifics of your needs
- Having the possibility to integrate on a third-party platform: we can quickly develop connectors.
