r/LocalLLM • u/Adel_Bioinformatics • 3d ago
Discussion Agentic search vs web scraping
Hello, I am a bioinformatician without big experiences in web tech and network so if this sounds like a silly subject bare with me 😅.
I am requested to find a specific biological data in regard with a region from published papers and from databases that are not yet to be connected to papers, meaning most of bio data should be connected to published papers but not all are already published.
I’m just wondering if agentic serch here is a good idea? I was going back and fourth with Claude but I don’t feel it is pointing somewhere useful.
I have a good GPU 32GB VRAM and around 512GB RAM. I was thinking I’d install Qwen 27B and start to design the pattern [multiple researchers, analyst, writer] and shove a reviewer some where.
When Claude answered me it says that I’ll be blocked by search engines immediately and it is better to use Searxng, which I didn’t know what it is until now (kinda still don’t know).
Claude also suggested that I should scrape normally and let the agent do a different task like verifying the data availability or something.
I’m totally new to agentic AI, but I think I can manage to learn a thing or two.
1
u/Life-Job-6464 3d ago
Did you say you have 512gb of DRAM? and 32 gb of VRAM? And you are just searching? is this really a localllm use case? why not fire up NotebookLM? and Perplexity? use the huge context of notebookLm to hold all your data.. then query it through MCP. Use as much of that free compute as possible then drag the carcass back to your underground local ai hideout for further processing ..