},        {          "question": "Who has been acknowledged for managing the company's social media platforms?",          "answer": "Sarah Thompson has been acknowledged for managing the company's social media platforms."        },        {          "question": "When is the upcoming product launch event?",          "answer": "The upcoming product launch event is on July 15th."        },        {          "question": "Who has been recognized for their contributions to the development of the company's technology?",          "answer": "David Rodriguez has been recognized for his contributions to the development of the company's technology."        },        {          "question": "When is the monthly R&D brainstorming session?",          "answer": "The monthly R&D brainstorming session is scheduled for July 10th."        },        {          "question": "Who should be contacted for questions or concerns regarding the topics discussed in the document?",          "answer": "For questions or concerns regarding the topics discussed in the document, Jason Fan, the Cofounder & CEO, should be contacted."        }      ]    }PreviousDoctran: extract propertiesNextDoctran: language translationInputOutputCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
Documents used in a vector store knowledge base are typically stored in a narrative or conversational format. However, most user queries are in question format. If we convert documents into Q&A format before vectorizing them, we can increase the likelihood of retrieving relevant documents, and decrease the likelihood of retrieving irrelevant documents.
Documents used in a vector store knowledge base are typically stored in a narrative or conversational format. However, most user queries are in question format. If we convert documents into Q&A format before vectorizing them, we can increase the likelihood of retrieving relevant documents, and decrease the likelihood of retrieving irrelevant documents. ->: },        {          "question": "Who has been acknowledged for managing the company's social media platforms?",          "answer": "Sarah Thompson has been acknowledged for managing the company's social media platforms."        },        {          "question": "When is the upcoming product launch event?",          "answer": "The upcoming product launch event is on July 15th."        },        {          "question": "Who has been recognized for their contributions to the development of the company's technology?",          "answer": "David Rodriguez has been recognized for his contributions to the development of the company's technology."        },        {          "question": "When is the monthly R&D brainstorming session?",          "answer": "The monthly R&D brainstorming session is scheduled for July 10th."        },        {          "question": "Who should be contacted for questions or concerns regarding the topics discussed in the document?",          "answer": "For questions or concerns regarding the topics discussed in the document, Jason Fan, the Cofounder & CEO, should be contacted."        }      ]    }PreviousDoctran: extract propertiesNextDoctran: language translationInputOutputCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.