Linq API for RAG

What is Linq API for RAG?

Linq API for RAG (Retrieval-Augmented Generation) is a generative AI solution designed for elite hedge funds and asset managers. It combines intelligent search with hyper-accurate LLM (Large Language Model) technology to supercharge investment research, providing quick insights and broadening analysts' attention spans during critical moments like earnings reports.

Who will use Linq API for RAG?

Linq API for RAG is tailored for investment professionals, particularly equity researchers and analysts at hedge funds and asset management firms. It's ideal for those needing rapid, accurate insights to enhance productivity in financial research and decision-making.

How to use Linq API for RAG?

• Integrate the API with your existing research platforms
• Use the intelligent search feature for equity research queries
• Leverage the hyper-accurate LLM tech stack for quick insights
• Apply the tool during earnings seasons for adjacent sector analysis
• Access generated reports to broaden your investment perspective

In what environments or scenarios is Linq API for RAG suitable?

Linq API for RAG excels in fast-paced financial environments like hedge fund research desks, particularly during earnings seasons and market-moving events. It's ideal for scenarios requiring quick analysis of multiple companies or sectors, compliance-sensitive settings (ISO 27001/SOC 2 certified), and when expanding research coverage efficiently.