Building a fully local research assistant from scratch with Ollama
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Top Comments (10)
Thanks for the video n demo. To me “fully local” means RAG and a local LLM
I love how you explain things. Thanks.
Awesome video thank you
Love this, thank you, Lance!
another excellent video
Thanks man looking more such practical use case videos
Thank you for this, it's a gem! Btw., what tool do you use to create such beautiful diagrams??
Looks awesome (though not really local). Thank you.
If “exo” were part of your tool stack, your ability to parallelize agents could become an option. Chuck another Mac mini in the pile when it’s worth the investment.
How about connecting VectorDB into this loop so gap query can first run through RAG vectors then still if gap persist it'll go through tavily
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Top Comments (10)
Thanks for the video n demo. To me “fully local” means RAG and a local LLM
I love how you explain things. Thanks.
Awesome video thank you
Love this, thank you, Lance!
another excellent video
Thanks man looking more such practical use case videos
Thank you for this, it's a gem! Btw., what tool do you use to create such beautiful diagrams??
Looks awesome (though not really local). Thank you.
If “exo” were part of your tool stack, your ability to parallelize agents could become an option. Chuck another Mac mini in the pile when it’s worth the investment.
How about connecting VectorDB into this loop so gap query can first run through RAG vectors then still if gap persist it'll go through tavily