ChatGPT Retrieval Plugin
Introduction
The ChatGPT Retrieval Plugin is a powerful addition to OpenAI's ChatGPT, enabling the AI to access and utilize data stored in a vector database like Weaviate. This capability not only enhances ChatGPT's performance by providing access to customized data but also addresses its long-standing limitation of lacking long-term memory. The plugin is part of the broader ChatGPT plugins ecosystem, which allows ChatGPT to interact with various apps and services, transforming it from a conversation tool to an AI capable of taking actions in the real world.
Background Information
Recently, OpenAI introduced plugins for ChatGPT, which have significantly expanded the chatbot's capabilities. These plugins are more than just the "eyes and ears" of ChatGPT as they provide the AI with access to third-party resources and enable it to act on the information obtained from conversations.
ChatGPT Plugins in Action
With the integration of plugins, ChatGPT can now perform various tasks such as ordering groceries, booking restaurants, and organizing vacations by utilizing services like Instacart, OpenTable, and Expedia. Moreover, the Zapier plugin allows ChatGPT to connect with thousands of other applications, from Google Sheets to Salesforce, thus broadening its reach.
Among these plugins, the Retrieval Plugin stands out due to its ability to overcome ChatGPT's lack of long-term memory and provide responses based on internal documents and data. This feature is particularly valuable for users who wish to create customized versions of ChatGPT tailored to their specific data.
The ChatGPT Retrieval Plugin
The ChatGPT Retrieval Plugin enables users to connect ChatGPT to a vector database. This connection allows the AI to access custom data stored in the database and answer questions based on the provided information. Additionally, the vector database can serve as a long-term storage system for ChatGPT's memory, enabling it to retain and recall parts of users' conversations.
The retrieval plugin can be used to accomplish tasks grounded in the context of knowledge stored in a connected vector database like Weaviate. This process involves two steps: first, ChatGPT is prompted with a question, which it uses to craft a query that is sent to the vector database; second, the vector database provides relevant information to ChatGPT, which it uses to formulate an answer to the user's prompt.
Main Features of the Retrieval Plugin
Attach a vector database containing proprietary data for ChatGPT to use when answering specific questions. Persist personal documents and details, enabling ChatGPT to provide personalized responses based on the user's unique context. Store conversations with ChatGPT in the attached vector database to maintain continuity between sessions. With these capabilities, users can schedule regular updates to the content stored in the connected vector database, giving the model awareness of new information and reducing the need for frequent, costly retraining of the LLM model.
Weaviate Retrieval Plugin in Action
The Weaviate Retrieval Plugin can be used in various applications, such as creating a private, customized version of ChatGPT tailored to an organization's internal documents or personalizing ChatGPT based on individual user details. By connecting the plugin to Weaviate, users can make ChatGPT more useful and relevant to their specific needs.
Using ChatGPT on Proprietary Company Documents
The Weaviate Retrieval Plugin can be used to create an HR chatbot by training a customized version of ChatGPT on a company's internal documents. This HR chatbot can then assist employees with questions related to onboarding processes, signing up for health benefits, and more
Personalizing ChatGPT
The Weaviate Retrieval Plugin also allows users to customize ChatGPT based on their personal details. By adding information about friends, preferences, and personal characteristics into Weaviate, ChatGPT can provide tailored recommendations, such as planning a menu for an upcoming party or suggesting suitable activities based on the user's interests and abilities.
Helping ChatGPT Remember
One of the most exciting applications of the Weaviate Retrieval Plugin is its ability to persist the memory of previous conversations with ChatGPT. By storing chat content in Weaviate, users can ensure that the AI remembers its past interactions, even when sessions are closed and restarted. This feature greatly enhances the continuity and relevance of ChatGPT's responses, making it more akin to a human conversational partner.
In summary, the ChatGPT Retrieval Plugin, particularly when used with Weaviate, significantly expands the capabilities of ChatGPT by providing access to custom data and long-term memory storage. This plugin enables users to create personalized and context-aware AI chatbots for a wide range of applications, from corporate use to individual customization.