diff --git a/examples/query_expansions/examples.jsonlines b/examples/query_expansions/examples.jsonlines
new file mode 100644
index 0000000..3f8b1d0
--- /dev/null
+++ b/examples/query_expansions/examples.jsonlines
@@ -0,0 +1,192 @@
+{
+  "query": "What is 10 + 10?",
+  "extraction": {
+    "message": "20",
+    "query": []
+  }
+}
+{
+  "query": "Please summarize the action items from today's meeting",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "summarize action items from meeting on 1/19/2024",
+        "questionType": [
+          "TRANSCRIPTS",
+          "ACTIVITY_LOG"
+        ],
+        "minDate": "1/19/2024",
+        "maxDate": "1/19/2024"
+      }
+    ]
+  }
+}
+{
+  "query": "Give a summary of the daily standup today with Bart. The spoken language is Dutch",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "Summary of the daily standup meeting with Bart on 1/19/2024 in Dutch language",
+        "questionType": [
+          "TRANSCRIPTS"
+        ],
+        "minDate": "1/19/2024",
+        "maxDate": "1/19/2024"
+      }
+    ]
+  }
+}
+{
+  "query": "What did I do last week? Write at least 10 bullet points",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "Activity log for the user between 1/12/2024 and 1/19/2024",
+        "questionType": [
+          "ACTIVITY_LOG"
+        ],
+        "minDate": "1/12/2024",
+        "maxDate": "1/19/2024"
+      }
+    ]
+  }
+}
+{
+  "query": "I recently looked up a Royal Caribbean cruise. What price did it show me?",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "What was the price of the Royal Caribbean cruise when recently searched?",
+        "questionType": [
+          "ACTIVITY_LOG"
+        ],
+        "minDate": "1/9/2024",
+        "maxDate": "1/19/2024"
+      }
+    ]
+  }
+}
+{
+  "query": "what was the name of the standup tool i saw recently",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "What is the name of the latest standup software or tool that I recently viewed or explored?",
+        "questionType": [
+          "PERSONAL_DATA",
+          "ACTIVITY_LOG"
+        ],
+        "minDate": "01/01/2024",
+        "maxDate": "01/19/2024"
+      }
+    ]
+  }
+}
+{
+  "query": "Can you summarize the transcript from 11:00AM to present?",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "show transcript from 11:00AM to 9:14:57 PM on 1/19/2024",
+        "questionType": [
+          "TRANSCRIPTS"
+        ],
+        "minDate": "1/19/2024 11:00:00 AM",
+        "maxDate": "1/19/2024 9:14:57 PM"
+      }
+    ]
+  }
+}
+{
+  "query": "What was I doing last week?",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "Activity log for the user from the date range of 1/12/2024 to 1/18/2024",
+        "questionType": [
+          "ACTIVITY_LOG"
+        ],
+        "minDate": "1/12/2024",
+        "maxDate": "1/18/2024"
+      }
+    ]
+  }
+}
+{
+  "query": "Summarize the meeting with Pinterest this morning",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "Summary of the morning meeting with Pinterest on 1/19/2024",
+        "questionType": [
+          "TRANSCRIPTS",
+          "ACTIVITY_LOG"
+        ],
+        "minDate": "1/19/2024 12:00:00 AM",
+        "maxDate": "1/19/2024 11:59:59 AM"
+      }
+    ]
+  }
+}
+{
+  "query": "Did he mention anything else about the terminal in the past 2 weeks? Please write 3 action items in the form of bullet points",
+  "extraction": {
+    "message": "Please create a summary of the mentions in the form of 3 action items in bullet point format once you find the relevant data",
+    "query": [
+      {
+        "rewrittenQuery": "Reports, conversation transcripts, notes or audio visual records where he has mentioned the terminal within the past 2 weeks",
+        "questionType": [
+          "TRANSCRIPTS",
+          "ACTIVITY_LOG"
+        ],
+        "minDate": "1/5/2024",
+        "maxDate": "1/19/2024"
+      }
+    ]
+  }
+}
+{
+  "query": "Can you summarize the transcript from 11:00AM to present?",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "show transcript from 11:00AM to 9:14:57 PM on 1/19/2024",
+        "questionType": [
+          "TRANSCRIPTS"
+        ],
+        "minDate": "1/19/2024 11:00:00 AM",
+        "maxDate": "1/19/2024 9:14:57 PM"
+      }
+    ]
+  }
+}
+{
+  "query": "Please summarize in detail Monday, the 17th of April 2023, starting from 10:00am and highlight any key aspects, todos and so on. Leave out any information about FASD/FAS/PFAS.",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "Detailed summary of activities, key aspects, and tasks scheduled for April 17, 2023, starting from 10:00am excluding any data related to FASD, FAS or PFAS",
+        "questionType": [
+          "ACTIVITY_LOG"
+        ],
+        "minDate": "2023-04-17T10:00:00",
+        "maxDate": "2023-04-17T23:59:59"
+      }
+    ]
+  }
+}
+{
+  "query": "How was my day?",
+  "extraction": {
+    "query": [
+      {
+        "rewrittenQuery": "Summarize the user's activities and interactions for the date January 19, 2024",
+        "questionType": [
+          "ACTIVITY_LOG"
+        ],
+        "minDate": "1/19/2024",
+        "maxDate": "1/19/2024"
+      }
+    ]
+  }
+}
diff --git a/examples/query_expansions/run.ts b/examples/query_expansions/run.ts
new file mode 100644
index 0000000..838ad19
--- /dev/null
+++ b/examples/query_expansions/run.ts
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+import readline from "readline"
+import Instructor from "@/instructor"
+import { OpenAI } from "openai"
+import { z } from "zod"
+
+const getSystem = () => {
+  const currentDate = new Date()
+  const formattedDate = currentDate.toLocaleDateString()
+  const time = currentDate.toLocaleTimeString()
+  const systemPrompt = `
+  You are a world class query understanding algorithm that is able to:
+
+  1. rewrite queries to be specific to the context, include additional terms that are relevant to the context, and remove terms that are not relevant to the context.
+  2. consider the date and relative and absolute time of the query and the context.
+  3. When the query is the search query should be fully qualified, and contain all themes, entities, and keywords that are relevant to the context.
+
+  Tips:
+    * PERSONAL_DATA: The query is asking for personal data. The answer should be a list of personal data.
+    * INTERNET: The query is asking for information on the internet or latest information that may not be available in the context.
+    * TRANSCRIPTS: The query is asking for a transcript of a conversation or a meeting.
+
+  The current date is ${formattedDate} and the current time is ${time}.
+  `
+
+  return systemPrompt
+}
+
+const ExtractionValuesSchema = z.object({
+  rewrittenQuery: z
+    .string()
+    .describe(
+      "Rewrite the query to be specific to the context. This will be used to do semantic search, so make sure it is specific to the context."
+    ),
+  questionType: z.array(
+    z
+      .string()
+      .describe(
+        "The type of question that is being asked. This will be used to determine the type of answer that is expected. MUST be one of the following: PERSONAL_DATA, INTERNET, TRANSCRIPTS"
+      )
+  ),
+  minDate: z
+    .string()
+    .optional()
+    .describe(
+      "The earliest date of the context that is relevant to the query, null if the query is not time sensitive"
+    ),
+  maxDate: z
+    .string()
+    .optional()
+    .describe(
+      "The latest date of the context that is relevant to the query, null if the query is not time sensitive"
+    ),
+  keywords: z.array(z.string()).describe("Keywords that are relevant to a Full Text Search Engine")
+})
+
+const oai = new OpenAI({
+  apiKey: process.env.OPENAI_KEY
+})
+
+const client = Instructor({
+  client: oai,
+  mode: "TOOLS"
+})
+
+type Extraction = Partial<z.infer<typeof ExtractionValuesSchema>>
+
+const runExtraction = async (query: string) => {
+  const systemPrompt = getSystem()
+
+  let extraction: Extraction = {}
+  const extractionStream = await client.chat.completions.create({
+    messages: [
+      { role: "system", content: systemPrompt },
+      { role: "user", content: query }
+    ],
+    model: "gpt-4",
+    response_model: {
+      schema: ExtractionValuesSchema,
+      name: "value_extraction"
+    },
+    stream: true,
+    seed: 1
+  })
+
+  for await (const result of extractionStream) {
+    try {
+      extraction = result
+      console.clear()
+      console.log(extraction)
+    } catch (e) {
+      console.log(e)
+      break
+    }
+  }
+}
+
+const rl = readline.createInterface({
+  input: process.stdin,
+  output: process.stdout
+})
+
+rl.question("Enter your query: ", query => {
+  runExtraction(query)
+  rl.close()
+})
diff --git a/examples/query_expansions/run_sync.ts b/examples/query_expansions/run_sync.ts
new file mode 100644
index 0000000..466f646
--- /dev/null
+++ b/examples/query_expansions/run_sync.ts
@@ -0,0 +1,156 @@
+import Instructor from "@/instructor"
+import { OpenAI } from "openai"
+import { z } from "zod"
+
+const getSystem = () => {
+  const currentDate = new Date()
+  const formattedDate = currentDate.toLocaleDateString()
+  const time = currentDate.toLocaleTimeString()
+  const systemPrompt = `
+  You are a world class query understanding algorithm that is able to:
+
+  1. rewrite queries to be specific to the context, include additional terms that are relevant to the context, and remove terms that are not relevant to the context.
+  2. consider the date and relative and absolute time of the query and the context.
+  3. When the query is the search query should be fully qualified, and contain all themes, entities, and keywords that are relevant to the context.
+
+  If you are able to use a search, lead the messages blank.
+
+  Tips for rewriting queries:
+    * These rewritten queries will be used in a semantic search index. So include alternative meanings and assume that the query should match the embeddings of the answer. 
+
+  Tips for tagging the question type:
+    * PERSONAL_DATA: The query is asking for personal data. The answer should be a list of personal data.
+    * INTERNET: The query is asking for information on the internet or latest information that may not be available in the context.
+    * TRANSCRIPTS: The query is asking for a transcript of a conversation or a meeting.
+    * ACTIVITY LOG: The query is asking for a log of activities or summaries of activities.
+    
+  Tip for additional instructions:
+    * If there are instructions on how to process the response given the search results include them here. For example, if you want to summarize a transcript, you should first search for the transcript and the additional instructions should include the instructions to summarize. 
+
+  The current date is ${formattedDate} and the current time is ${time}.
+  `
+
+  return systemPrompt
+}
+
+const SearchQuery = z.object({
+  rewrittenQuery: z
+    .string()
+    .optional()
+    .describe(
+      "Rewrite the query to be specific to the context. This will be used to do semantic search, so make sure it is specific to the context."
+    ),
+  questionType: z.array(
+    z
+      .string()
+      .describe(
+        "The type of question that is being asked. This will be used to determine the type of answer that is expected. MUST be one of the following: PERSONAL_DATA, INTERNET, TRANSCRIPTS"
+      )
+  ),
+  minDate: z
+    .string()
+    .optional()
+    .describe(
+      "YYYY/MM/DD Format, The earliest date of the context that is relevant to the query, null if the query is not time sensitive"
+    ),
+  maxDate: z
+    .string()
+    .optional()
+    .describe(
+      "YYYY/MM/DD Format, The latest date of the context that is relevant to the query, null if the query is not time sensitive"
+    )
+  // keywords: z.array(z.string()).describe("Keywords that are relevant to a Full Text Search Engine"),
+})
+
+const Response = z.object({
+  message: z
+    .string()
+    .optional()
+    .describe("The response to the message, if you need to make a search query, provide it below."),
+  query: z.array(
+    SearchQuery.describe(
+      "If you need additional information, please provide it here. If you do not need additional information, please leave this blank."
+    )
+  )
+  // additionalInstructions: z.string().optional().describe("If you need additional information, please provide it here. If you do not need additional information, please leave this blank."),
+})
+
+const oai = new OpenAI({
+  apiKey: process.env.OPENAI_KEY
+})
+
+const client = Instructor({
+  client: oai,
+  mode: "TOOLS"
+})
+
+type Extraction = Partial<z.infer<typeof SearchQuery>>
+
+export const runExtractionStream = async (query: string) => {
+  const systemPrompt = getSystem()
+
+  let extraction: Extraction = {}
+  const extractionStream = await client.chat.completions.create({
+    messages: [
+      { role: "system", content: systemPrompt },
+      { role: "user", content: query }
+    ],
+    model: "gpt-4",
+    response_model: {
+      schema: SearchQuery,
+      name: "value_extraction"
+    },
+    stream: true,
+    seed: 1
+  })
+
+  for await (const result of extractionStream) {
+    try {
+      extraction = result
+      console.clear()
+      console.log(extraction)
+    } catch (e) {
+      console.log(e)
+      break
+    }
+  }
+}
+
+const runExtraction = async (query: string) => {
+  const systemPrompt = getSystem()
+
+  const extraction = await client.chat.completions.create({
+    messages: [
+      { role: "system", content: systemPrompt },
+      { role: "user", content: query }
+    ],
+    model: "gpt-4",
+    response_model: {
+      schema: Response,
+      name: "Respond"
+    },
+    seed: 1
+  })
+
+  console.log(JSON.stringify({ query, extraction }, null, 2))
+}
+
+const failingQuestions = [
+  "What did I do last week? Write at least 10 bullet points",
+  "Give a summary of the daily standup today with Bart. The spoken language is Dutch",
+  "Please summarize the action items from today's meeting",
+  "How was my day?",
+  "Did he mention anything else about the terminal in the past 2 weeks? Please write 3 action items in the form of bullet points",
+  "Summarize the meeting with Pinterest this morning",
+  "Can you summarize the transcript from 11:00AM to present?",
+  "What was I doing last week?",
+  "What is 10 + 10?",
+  "I recently looked up a Royal Caribbean cruise. What price did it show me?",
+  "Please summarize in detail Monday, the 17th of April 2023, starting from 10:00am and highlight any key aspects, todos and so on. Leave out any information about FASD/FAS/PFAS.",
+  "what was the name of the standup tool i saw recently",
+  "Can you summarize the transcript from 11:00AM to present?"
+]
+
+failingQuestions.forEach(question => {
+  runExtraction(question)
+})