NOTION SALESFORCE INTEGRATION MANUAL
Amazon Kendra uses advanced techniques, such as natural language processing and computer vision, to understand and process user queries and provide accurate, relevant results in a fraction of the time it would take to do a manual search of data sources. It is designed to help organizations index and search all types of data sources quickly and efficiently. Let’s first take a closer look at Amazon Kendra.Īmazon Kendra is a user-friendly machine learning-powered search and intelligence service offered by Amazon Web Services (AWS). Amazon KendraĪs I delved into the world of intelligent search solutions, I decided to put two popular tools head-to-head – Amazon Kendra and LlamaIndex – to discover their unique strengths and limitations. This article compares out-of-the-box solutions like Amazon Kendra, and open-source libraries like LlamaIndex, and explains how the team at Provectus was able to overcome the limitations of LLamaIndex crawler by developing our own Google Drive crawler.
We have some data in Google Drive, and we wanted to develop a semantic search tool for documents built around LLM. Our company has multiple sources of data, so we applied Generative AI to build a general search system, and to build missing crawlers or enhance existing ones, in order to avoid limitations while remaining compliant with our data security policies. But while these tools provide a variety of crawlers for known data sources, they do not have all the necessary connectors for diverse knowledge sources. There are multiple tools and applications that facilitate knowledge integration, either as a built-in feature like Amazon Kendra, or via existing connectors and crawlers, as with tools like LLamaIndex and LangChain that use large language models (LLMs) for intelligent search. This requires a solution that can unify data sources under a common structure, with a universal query language, preferably a human language with inherent “intelligence.” The main obstacle is that each of these platforms has their own unique APIs or query languages.
NOTION SALESFORCE INTEGRATION HOW TO
In this article, we compare the existing solutions and explain how to overcome their limitations using a Google Drive crawler.Ĭompanies often face difficulties in consolidating their knowledge base when their data is spread across various knowledge storage platforms like Google Drive, Wiki Confluence, Notion, etc. Amazon Kendra and LLamaIndex can help with knowledge integration but fall short in connecting diverse knowledge sources, to enable efficient intelligent search.
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