I’m currently working on a project that involves processing large PDF documents with multiple pages using Gemini. Right now I’m breaking the content into smaller chunks and handling the parallel processing manually in my application code.
The performance isn’t great though because everything runs sequentially. I noticed that other AI services like OpenAI and Anthropic offer async APIs that can handle multiple requests concurrently.
I’ve been looking through Gemini’s documentation but haven’t found any mention of asynchronous prompting capabilities. Does anyone know if Gemini supports async operations? This would really help speed up my PDF summarization workflow.
yeah, gemini’s got async stuff, but it’s def not as smooth as other services like openai. u might need to mess around with their batch api or set up ur own async layer. i tried it for doc proccessing and it worked, but watch out for rate limits, they’re kinda strict.
Vertex AI beats the standard AI SDK for async Gemini handling. I made the switch after hitting the same PDF processing bottlenecks you’re dealing with. The game-changer is their batch prediction jobs - they handle large document sets without all the manual throttling nonsense. Just submit your chunks as a batch and Vertex handles the parallel processing for you. Yeah, there’s more setup upfront since you need to structure your input data and configure job parameters, but the throughput boost is huge. I went from 2-3 minutes per financial report to processing 20+ docs at once. Plus the pricing’s way more predictable for bulk work compared to getting hit with per-request charges.
Yeah, Gemini’s async issues drove me to automation workflows too. Why fight their API quirks and rate limits when you can build a proper document pipeline?
I use Latenode for the entire PDF workflow. It breaks down documents, handles chunking automatically, and manages parallel processing - no manual coding needed. Smart rate limiting too - queues requests and retries failures.
Best feature? Multiple AI providers in one workflow. Gemini being slow? It switches to OpenAI or Claude automatically. Set this up for a client processing thousands of research papers and cut their time by 80%.
I’ve worked with Gemini’s API a lot - async support is there but takes more setup than other providers. The Google AI SDK handles async operations through their client libraries, especially in Python and JavaScript. For PDF processing, batch your requests with asyncio (Python) or Promise.all (JavaScript). Don’t flood Gemini with requests - it works better with moderate concurrency levels. Gemini’s rate limiting is different from OpenAI’s. I use a semaphore to cap concurrent requests at 10-15 simultaneous calls. This gives good performance without hitting limits. Latency’s higher than other services, but proper async implementation will speed up your processing considerably.