My Elevator pitch
Like Google is a great tool to search content on Internet - We build a similar search tool for Intranet. Using Elastic your employees can search for internal information. A classic example can be - name a customer from India who uses APM on google cloud.
To build a search tool - Elastic will scan, search and index a whole lot of internal information. This is stored in a vector data base. In fact - Elastic is the world's most downloaded Vector Database. The search tool is the most superior in the market with a focus on Speed, Scale and Relevance in search results
You can integrate Elastic in your application to build your own search feature.
The rich vector database can also be leveraged to use the Out of box feature of Observability.
O11Y tools generally build tools that gather data and the dashboards sit on top of it. In our case - we have collected all the required data in our Vector database for Search and O11Y is the OTB feature
On Similar lines - Elastic can be used for SIEM as well
Before I conclude - I am sure you have used ChatGPT - we can build a similar tool for your internal usage. The Vector Database can be integrated with any leading LLM. When a query is asked - the vector database can search the query and share the results with the LLM. The LLM will now be able to generate an informed result that is relevant. This feature is called RAG - Retrieval-Augmented Generation.
