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Create a group of agents, and provide them access to functions and data sources. Once provided with a prompt they will be able to securely leverage those data sets or systems to solve your problem.
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Use our collection of data sources to sync data from other systems like confluence or upload your own pdf, docx, txt or csv file.
When selecting systems like databases (postgres, snowflake, bigquery) you can select tables and even columns to ingest.
For files you can provide instructions on how to split and chunk your data. Leverage Open AI latest text-embedding-3 for embedding or select from open source models like BGE/base.
Once data has been embedded the platform will store your data within a vector database. We also expose
Select what frequency you would like to sync data from the source. This can be manual, scheduled or a cron expression. This means users can query fresh data and know how recent the source was updated.
Now that data is synced, simply create an agent with your choice of LLM and start a session to talk to your data.