ContextClue is an AI Text Analysis and Knowledge Management Tool that extracts vital information from diverse documents like text files, scanned PDFs, and numerical data. It offers features like text summarization, semantic search, report generation, SQL & Data Analysis, and AI document generation. It integrates with tools like Slack and MS Teams and can be deployed on cloud, hybrid, or on-premises infrastructure.
Context Clue
AI Text Analysis and Knowledge Management Tool for document research and insights.
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What is Context Clue?
How to use
Interact with the chatbot, ask questions, and get precise answers from your documents. Business users can integrate it with tools like Slack, Confluence, or Jira. Technical users can use it as an LLM framework to build their own applications.
Core Features
- Text Summarization
- LLM-driven Semantic Search
- Report Generation
- SQL & Data Analysis
- AI Document Generation
- Integrations
Use Cases
- Manufacturing Knowledge Management
- Internal Communication
- Legal & Finance audit analysis and reporting
- Healthcare research and administrative efficiency
- Research and Academic Institutions collaboration
- IT Departments documentation and code migration
- Marketing & Sales report generation and campaign analysis
FAQ
What is ContextClue?
ContextClue is a generative AI solution designed to harness the potential of LLMs in data processing, including numeric data, text information, and code. Its main objective is to enable businesses to accelerate document processing, facilitate code migration, and improve research and knowledge management.
How can I use ContextClue?
There are two ways you can use ContextClue: 1. Business users can utilize ContextClue by integrating the solution with their everyday toolset. 2. Technical users can utilize ContextClue with no UI to accelerate the development of their own LLM-based applications.
What services will ContextClue be integrating with?
Currently, it integrates by default with Slack and MS Teams. Integrations with Confluence, Jira, Box, GDrive, Dropbox, and OneDrive are in progress. It is worth noting that it is possible to build a custom API integration with the client’s chosen tech stack.
What LLMs does ContextClue use?
By default, it uses GPT 4.0, Llama, Mistral and Bedrock. However, clients have full freedom to replace these LLMs with those that better suit their needs. ContextClue can work with both open-source and commercial LLMs.
How long does it take to integrate ContextClue with the Client’s infrastructure?
It all depends on the chosen LLM: Open-source LLM: Integration may take a few hours as the LLM must be downloaded and set up. Commercial LLM: Integration takes just a few minutes as there is a ready-to-use API.
How does ContextClue handle data security considerations?
ContextClue works on the Client’s infrastructure, so data is as secure as the infrastructure itself; data never leaves the given environment, whether it is cloud-based or on local servers.
Pricing
Pros & Cons
Pros
- Accuracy & consistency with automated LLM quality control
- Scalability & customization to meet specific business needs
- Data security with on-premise deployment options
- Various integrations with storage solutions, Slack, Teams, etc.
- On-premise & cost-effective LLMs
Cons
- Open-source LLM integration may take a few hours for setup
- Commercial LLM integration requires API