ContextClue

Introduction to ContextClue

ContextClue is an advanced AI-driven knowledge management platform designed to enhance business productivity by transforming complex data into actionable insights. Developed by Addepto, a leading AI and data science company, ContextClue leverages large language models (LLMs) to process and analyze various data types, including text, numeric data, and code. Its primary objective is to accelerate document processing, facilitate code migration, and improve research and knowledge management within organizations.

Key Features of ContextClue

• Text Summarization: Condenses lengthy documents or texts into concise summaries for quick understanding.
• Report Generation: Automatically creates customized reports by connecting to existing knowledge bases and extracting relevant information.
• LLM-Driven Semantic Search: Enhances search capabilities by understanding the context and meaning of queries for more relevant results.
• LLM-Powered Data Analysis: Accesses SQL databases, BI dashboards, and reports using conversational queries to gain instant insights without technical expertise.
• AI Document Generation: Effortlessly creates brand-aligned documents using data from knowledge bases.
• Code Migration Support: Analyzes repositories, identifies dependencies, and generates clear technical documentation for smoother code migrations.
• Technical Documentation: Transforms complex documentation repositories into navigable knowledge frameworks using intelligent knowledge graphs.
• QA Capabilities: Provides instant, context-aware answers to follow-up questions synthesized from knowledge bases.

How to Use ContextClue

ContextClue offers two primary modes of use:

1. Business Users: Integrate ContextClue with everyday tools such as Slack, Confluence, or Jira to increase efficiency in tasks like contract summarization, research, and report generation. ContextClue operates “on top” of currently used tools, integrating with them via API and using its own simple UI.
2. Technical Users: Utilize ContextClue without a UI to accelerate the development of LLM-based applications. In this mode, ContextClue serves as an LLM framework, enabling developers to integrate chosen features into their own tailor-made apps without the need to develop everything from scratch.

Pricing Information

Pricing details for ContextClue are not publicly disclosed on the official website. For customized pricing information tailored to specific business needs, interested parties are encouraged to contact ContextClue directly through their contact page.

Frequently Asked Questions (FAQ)

• What LLMs does ContextClue use? By default, ContextClue uses GPT-4.0, Llama, Mistral, and Bedrock. Clients have the flexibility to replace these with LLMs that better suit their needs, including both open-source and commercial options.
• How long does it take to integrate ContextClue? Integration time varies based on the chosen LLM. Open-source LLMs may require a few hours for setup, while commercial LLMs can be integrated in just a few minutes using ready-to-use APIs.
• How does ContextClue handle data security? ContextClue operates on the client’s infrastructure, ensuring that data never leaves the given environment, whether cloud-based or on local servers. For maintenance purposes, ContextClue monitors logs but does not have access to the client’s data.
• Which data sources can ContextClue connect to? ContextClue can connect to various knowledge bases and data storages, including Confluence, SharePoint, Google Drive, and more.
• Can I customize the report templates? Yes, users can create tailored templates with desired branding using natural language queries to tell ContextClue what the report should look like and what content to include.
• Does ContextClue support data visualization? Yes, ContextClue can create charts and graphs based on data spread across files and update them in real-time.
• In what formats can I download the generated reports? Reports can be downloaded in editable formats or as print-ready PDFs.