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Need More Relevant LLM Responses? Address These Retrieval Augmented Generation Challenges
Manage episode 393695087 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/need-more-relevant-llm-responses-address-these-retrieval-augmented-generation-challenges-part-1.
we look at how suboptimal embedding models, inefficient chunking strategies and a lack of metadata filtering can make it hard to get relevant responses from you
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #retrieval-augmented-generation, #vector-search, #vector-database, #llms, #embedding-models, #ada-v2, #jina-v2, #good-company, and more.
This story was written by: @datastax. Learn more about this writer by checking @datastax's about page, and for more stories, please visit hackernoon.com.
we look at how suboptimal embedding models, inefficient chunking strategies and a lack of metadata filtering can make it hard to get relevant responses from your LLM. Here’s how to surmount these challenges.
316 פרקים
Manage episode 393695087 series 3474148
This story was originally published on HackerNoon at: https://hackernoon.com/need-more-relevant-llm-responses-address-these-retrieval-augmented-generation-challenges-part-1.
we look at how suboptimal embedding models, inefficient chunking strategies and a lack of metadata filtering can make it hard to get relevant responses from you
Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #retrieval-augmented-generation, #vector-search, #vector-database, #llms, #embedding-models, #ada-v2, #jina-v2, #good-company, and more.
This story was written by: @datastax. Learn more about this writer by checking @datastax's about page, and for more stories, please visit hackernoon.com.
we look at how suboptimal embedding models, inefficient chunking strategies and a lack of metadata filtering can make it hard to get relevant responses from your LLM. Here’s how to surmount these challenges.
316 פרקים
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