💼 productive forces

Grapevine

An internal company GPT that searches across documents, code and communications to answer questions quickly and accurately

#Data security
#information search
#Enterprise GPT
#Efficient productivity tools
Grapevine

Product Details

Grapevine is an internal company GPT that connects the team's various tools, such as Slack, Notion, GitHub, etc., to continuously index data. Its importance lies in providing an efficient information query and answer platform for the team, which solves the time-consuming problem of searching for information at work. Key advantages include wide search range, accurate answers with citations, ability to handle historical context, strong continuous learning capabilities, and high security (data encryption, database isolation, SOC II compliance, and no use of customer data to train models). The product background was developed in response to the existing problems of company GPT in the existing market, aiming to provide a truly usable solution. Price-wise, it’s free to get started. Positioning is to provide efficient information query and answer services for corporate teams.

Main Features

1
Connect team tools and continuously index: Grapevine can connect to tools commonly used by teams, such as Slack, Notion, GitHub, Linear, Drive, etc., and will continuously index the data in these tools to ensure timely updates and searchability of information.
2
Answer questions in Slack and provide citations: When team members ask questions in Slack, Grapevine can answer based on indexed data and provide citations for the answers, allowing users to trace the source of the information and enhance the credibility of the answers.
3
Actively answer questions: In addition to passively answering user questions, Grapevine also has the ability to actively answer questions. It can predict and answer possible problems in advance based on the team's situation and data, improving work efficiency.
4
Handle historical context: Grapevine can handle queries with complete historical context, taking into account previous relevant conversations and information when answering questions, providing more accurate and comprehensive answers and avoiding repeated questions and misunderstandings.
5
Continuous learning and optimization: Over time, Grapevine will continue to learn and analyze the team's data, gradually improving its performance and accuracy, becoming more intelligent and efficient, and providing better services to the team.
6
Data security: Grapevine uses the industry standard AES 256 encryption algorithm to encrypt data to ensure the security of the data during storage. At the same time, each customer's data is isolated and stored in an independent database and complies with SOC II compliance standards. Customer data will not be used for model training to protect customer privacy and data security.

How to Use

1
1. Complete the data connection and Slack robot settings within 30 minutes: Connect the team’s tools such as Slack, Notion, GitHub, etc. with Grapevine, and complete the settings of the Slack robot to use Grapevine services in Slack.
2
2. Start asking questions: Once setup is complete, team members can start asking questions to Grapevine on Slack or other supported platforms to get the information they need.
3
3. Process queries with historical context: As usage time increases, Grapevine will accumulate the team's historical data and conversation information. Users can raise queries with complete historical context, and Grapevine will provide more accurate and comprehensive answers based on this information.
4
4. Continuous use and optimization: Grapevine will continue to learn and optimize to continue to provide better services to the team. Users can continue to use Grapevine and enjoy its continuously improving performance and functionality.

Target Users

Enterprise team members: For various team members in the enterprise, Grapevine can help them quickly find the information they need, whether it is knowledge in documents, details in code, or records in communication. They can get accurate answers in a short time, saving a lot of search time and improving work efficiency. For example, developers can quickly query code-related information, and marketers can obtain market data and cases, etc.

Cross-department collaborators: In cross-department collaboration scenarios, there are often difficulties in information sharing and communication between different departments. Grapevine can integrate data from various departments and provide a unified information query platform for cross-department collaborators, helping them better understand and handle cross-team issues and improve collaboration efficiency and quality. For example, when product managers collaborate with development, design, marketing and other departments, they can obtain comprehensive information through Grapevine and make more reasonable decisions.

IT Infrastructure Team: For IT infrastructure teams who need to manage and maintain large amounts of systems and data, Grapevine can provide fast technical support and problem answers. For example, when creating a new S3 bucket and other operations, team members can obtain relevant guidance and precautions through Grapevine to ensure the correctness and safety of the operation.

Examples

During two months of internal use, hundreds of real questions were handled, and more than 85% of the answers were helpful and accurate to users.

For common cross-team questions, such as Johnny asking the Infra team about creating a new S3 bucket, Grapevine can provide accurate answers.

In actual Slack threads, Grapevine is able to provide users with contextually accurate answers based on the team's historical conversations and data.

Quick Access

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› AI search
› Productivity tools

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