From 90994acac3ef9256818718eaddf4327cf554819c Mon Sep 17 00:00:00 2001 From: Shorthills AI <141953346+ShorthillsAI@users.noreply.github.com> Date: Thu, 14 Dec 2023 10:34:59 +0530 Subject: [PATCH] Fixing Docs (#9515) --- docs/optimizing/basic_strategies/basic_strategies.md | 2 +- docs/understanding/evaluating/cost_analysis/usage_pattern.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/docs/optimizing/basic_strategies/basic_strategies.md b/docs/optimizing/basic_strategies/basic_strategies.md index 0ebeb3b049..3db6d39314 100644 --- a/docs/optimizing/basic_strategies/basic_strategies.md +++ b/docs/optimizing/basic_strategies/basic_strategies.md @@ -34,7 +34,7 @@ maxdepth: 1 Choosing the right embedding model plays a large role in overall performance. - Maybe you need something better than the default `text-embedding-ada-002` model from OpenAI? -- Maybe you want to scale to a local sever? +- Maybe you want to scale to a local server? - Maybe you need an embedding model that works well for a specific language? Beyond OpenAI, many options existing for embedding APIs, running your own embedding model locally, or even hosting your own server. diff --git a/docs/understanding/evaluating/cost_analysis/usage_pattern.md b/docs/understanding/evaluating/cost_analysis/usage_pattern.md index 9d77ad34f4..acad4fac0c 100644 --- a/docs/understanding/evaluating/cost_analysis/usage_pattern.md +++ b/docs/understanding/evaluating/cost_analysis/usage_pattern.md @@ -73,7 +73,7 @@ print( token_counter.reset_counts() ``` -6. Run a query, mesaure again +6. Run a query, measure again ```python query_engine = index.as_query_engine() -- GitLab