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Hi! I'm helping build a simple Q/A engine for a venture capital firm I'm interning at. I found out about LlamaIndex after Jerry came to my school (Berkeley) to give a talk about Llama index and building LLM engines.
Most of our data is in sharepoint and slack, where there are already great tools to ingest with through LlamaHub. However, the one missing feature we have is that we currently use Affinity as our CRM, and being able to easily query over our CRM and combine it with insights from our slack/sharepoint would be great.
Reason
Instead of the current solution (simply export as csv manually and uploading to ingest, would love to be able to orchestrate a scheduled task to consistently pull live changes to CRM, as our CRM data updates constantly).
Value of Feature
Great value add for enterprise-level usecases, especially with financial services and VC/PE firms!
The text was updated successfully, but these errors were encountered:
@AlsonC if you want, a PR to add this integration would be great :) I would just fork the repo, copy an existing reader package and edit it from there, and then propose a PR? 🙏🏻
Feature Description
Hi! I'm helping build a simple Q/A engine for a venture capital firm I'm interning at. I found out about LlamaIndex after Jerry came to my school (Berkeley) to give a talk about Llama index and building LLM engines.
Most of our data is in sharepoint and slack, where there are already great tools to ingest with through LlamaHub. However, the one missing feature we have is that we currently use Affinity as our CRM, and being able to easily query over our CRM and combine it with insights from our slack/sharepoint would be great.
Reason
Instead of the current solution (simply export as csv manually and uploading to ingest, would love to be able to orchestrate a scheduled task to consistently pull live changes to CRM, as our CRM data updates constantly).
Value of Feature
Great value add for enterprise-level usecases, especially with financial services and VC/PE firms!
The text was updated successfully, but these errors were encountered: