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How to build integrations that power enterprise AI search

Blog post from Merge

Post Details
Company
Date Published
Author
Jon Gitlin
Word Count
2,166
Company Posts That Month
13
Language
English
Hacker News Points
-
Post removed?
No
Summary

Enterprise AI search refers to the use of artificial intelligence and machine learning models to provide employees with quick and concise answers to their questions, leveraging integrated customer data to generate relevant output. This functionality can be used in various applications, such as Notion and Guru, to help employees find information and execute tasks more efficiently. To build effective enterprise AI search, it is essential to integrate with multiple systems and applications, including file storage, CRM, HRIS, and ticketing platforms, to provide comprehensive coverage and reliable outputs. Merge, a unified API platform, offers a range of integrations and features, such as data normalization and access control lists, to support the development of enterprise AI search functionality. By using enterprise AI search, companies can benefit from time savings, improved employee experience, productivity gains, and cross-functional alignment, ultimately leading to more informed business decisions and increased efficiency.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
LLM 11 3,709 434 145 +39%
RAG 5 1,794 220 80 +16%
Vector Search 2 2,433 274 99 -40%
MCP 1 232 36 13 +23%
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