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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ with an lru-cache.
One significant challenge facing large language models (LLMs) is their tendency
to generate syntactically correct but factually inaccurate responses, a
phenomenon known as hallucination. To address this issue, vector databases
provide LLMs with relevant context to structure it's response. This not only
provide LLMs with relevant context to structure its response. This not only
improves the accuracy of LLM responses but also minimizes computational costs
incurred by irrelevant tokens. Additionally, vector databases ensure that LLMs
are anchored to the required context.
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