diff --git a/pages/techniques/rag.en.mdx b/pages/techniques/rag.en.mdx index 4694ca5..4ca7f88 100644 --- a/pages/techniques/rag.en.mdx +++ b/pages/techniques/rag.en.mdx @@ -22,4 +22,4 @@ This shows the potential of RAG as a viable option for enhancing outputs of lang More recently, these retriever-based approaches have become more popular and are combined with popular LLMs like ChatGPT to improve capabilities and factual consistency. -You can find a [simple example of how to use retrievers and LLMs for question answering with sources](https://python.langchain.com/en/latest/modules/chains/index_examples/vector_db_qa_with_sources.html) from the LangChain documentation. \ No newline at end of file +You can find a [simple example of how to use retrievers and LLMs for question answering with sources](https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_qa) from the LangChain documentation. \ No newline at end of file diff --git a/pages/techniques/rag.it.mdx b/pages/techniques/rag.it.mdx index eceeb92..ff5d7bb 100644 --- a/pages/techniques/rag.it.mdx +++ b/pages/techniques/rag.it.mdx @@ -22,4 +22,4 @@ Questo mostra il potenziale di RAG come opzione valida per migliorare gli output Più recentemente, questi approcci basati su recupero sono diventati più popolari e sono combinati con LLM popolari come ChatGPT per migliorare le capacità e la coerenza fattuale. -Puoi trovare un [esempio semplice di come usare i recuperatori e i LLM per rispondere alle domande con le fonti](https://python.langchain.com/en/latest/modules/chains/index_examples/vector_db_qa_with_sources.html) dalla documentazione di LangChain. +Puoi trovare un [esempio semplice di come usare i recuperatori e i LLM per rispondere alle domande con le fonti](https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_qa) dalla documentazione di LangChain. diff --git a/pages/techniques/rag.zh.mdx b/pages/techniques/rag.zh.mdx index f7a5fb2..82c11b0 100644 --- a/pages/techniques/rag.zh.mdx +++ b/pages/techniques/rag.zh.mdx @@ -22,4 +22,4 @@ RAG 在 [Natural Questions](https://ai.google.com/research/NaturalQuestions)、[ 最近，基于检索器的方法越来越流行，经常与 ChatGPT 等流行 LLM 结合使用来提高其能力和事实一致性。 -LangChain 文档中可以找到[一个使用检索器和 LLM 回答问题并给出知识来源的简单例子](https://python.langchain.com/en/latest/modules/chains/index_examples/vector_db_qa_with_sources.html)。 +LangChain 文档中可以找到[一个使用检索器和 LLM 回答问题并给出知识来源的简单例子](https://python.langchain.com/docs/use_cases/question_answering/how_to/vector_db_qa)。 diff --git a/pages/techniques/react.ca.mdx b/pages/techniques/react.ca.mdx index a0945af..ff7351f 100644 --- a/pages/techniques/react.ca.mdx +++ b/pages/techniques/react.ca.mdx @@ -173,6 +173,6 @@ La sortida que obtenim és la següent: "Harry Styles, el nòvio d'Olivia Wilde, té 29 anys i la seva edat elevada a la potència de 0,23 és 2.169459462491557." ``` -Hem adaptat l'exemple de la [documentació de LangChain](https://python.langchain.com/en/latest/modules/agents/getting_started.html), així que el crèdit és per a ells. Animen a l'aprenent a explorar diferents combinacions d'eines i tasques. +Hem adaptat l'exemple de la [documentació de LangChain](https://python.langchain.com/docs/modules/agents), així que el crèdit és per a ells. Animen a l'aprenent a explorar diferents combinacions d'eines i tasques. Podeu trobar el quadern de codi aquí: https://github.com/dair-ai/Prompt-Engineering-Guide/blob/main/notebooks/react.ipynb \ No newline at end of file diff --git a/pages/techniques/react.fi.mdx b/pages/techniques/react.fi.mdx index 44c264f..5697a81 100644 --- a/pages/techniques/react.fi.mdx +++ b/pages/techniques/react.fi.mdx @@ -163,6 +163,6 @@ Suorituksen tuloksena saamme seuraavanlaisen tuloksen: "Harry Styles, Olivia Wilde's boyfriend, is 29 years old and his age raised to the 0.23 power is 2.169459462491557." ``` -Mukautimme esimerkin [LangChain dokumentaatiosta](https://python.langchain.com/en/latest/modules/agents/getting_started.html). Kannustamme lukijaa tutkimaan erilaisia työkalu- ja tehtäväyhdistelmiä. +Mukautimme esimerkin [LangChain dokumentaatiosta](https://python.langchain.com/docs/modules/agents). Kannustamme lukijaa tutkimaan erilaisia työkalu- ja tehtäväyhdistelmiä. Löydät tämän koodin sisältävän Notebook-ympäristön täältä: https://github.com/dair-ai/Prompt-Engineering-Guide/blob/main/notebooks/react.ipynb diff --git a/pages/techniques/react.ru.mdx b/pages/techniques/react.ru.mdx index ba84d4d..edc72d5 100644 --- a/pages/techniques/react.ru.mdx +++ b/pages/techniques/react.ru.mdx @@ -173,6 +173,6 @@ Final Answer: Harry Styles, Olivia Wilde's boyfriend, is 29 years old and his ag "Harry Styles, Olivia Wilde's boyfriend, is 29 years old and his age raised to the 0.23 power is 2.169459462491557." ``` -Мы адаптировали пример из [документации LangChain](https://python.langchain.com/en/latest/modules/agents/getting_started.html), поэтому заслуги принадлежат им. Мы рекомендуем исследовать различные комбинации инструментов и задач. +Мы адаптировали пример из [документации LangChain](https://python.langchain.com/docs/modules/agents), поэтому заслуги принадлежат им. Мы рекомендуем исследовать различные комбинации инструментов и задач. Вы можете найти ноутбук для этого кода здесь: https://github.com/dair-ai/Prompt-Engineering-Guide/blob/main/notebooks/react.ipynb \ No newline at end of file diff --git a/pages/techniques/react.zh.mdx b/pages/techniques/react.zh.mdx index f65a3ea..f49ab6d 100644 --- a/pages/techniques/react.zh.mdx +++ b/pages/techniques/react.zh.mdx @@ -163,6 +163,6 @@ agent.run("奥利维亚·王尔德的男朋友是谁?他现在的年龄的0.23 "哈里·斯泰尔斯, 奥利维亚·王尔德的男朋友, 29 岁。他年龄的 0.23 次方是 2.169459462491557。" ``` -这个例子我们摘自 [长链文档](https://python.langchain.com/en/latest/modules/agents/getting_started.html) 并改编，所以这些都要归功于他们。我们鼓励学习者去探索工具和任务的不同组合。 +这个例子我们摘自 [LangChain 文档](https://python.langchain.com/docs/modules/agents) 并修改，所以这些都要归功于他们。我们鼓励学习者去探索工具和任务的不同组合。 -您可以在这里找到这些代码的笔记本: https://github.com/dair-ai/Prompt-Engineering-Guide/blob/main/notebooks/react.ipynb +您可以在这里找到这些代码: https://github.com/dair-ai/Prompt-Engineering-Guide/blob/main/notebooks/react.ipynb