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I’m trying to determine the best way to integrate LlamaIndex, particularly LlamaParse. Currently, I’ve modified the Markdown parser to extract additional data and sometimes make API calls to fetch external data—all of which then become part of the search index. This approach doesn’t require a workflow change. However, I’m considering using LlamaIndex to see if it improves the process or impacts the workflow.
My starting point is this repository to understand its implementation. Additionally, based on the Ignite video, it appears that LlamaIndex requires Azure OpenAI API access without managed identity support.
I’d love to hear how you’re handling data ingestion and indexing today.
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Hello all,
I’m trying to determine the best way to integrate LlamaIndex, particularly LlamaParse. Currently, I’ve modified the Markdown parser to extract additional data and sometimes make API calls to fetch external data—all of which then become part of the search index. This approach doesn’t require a workflow change. However, I’m considering using LlamaIndex to see if it improves the process or impacts the workflow.
My starting point is this repository to understand its implementation. Additionally, based on the Ignite video, it appears that LlamaIndex requires Azure OpenAI API access without managed identity support.
I’d love to hear how you’re handling data ingestion and indexing today.
Thanks.
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