diff --git a/data/prompts/chat_prompt.json b/data/prompts/chat_prompt.json
index 9d2b3cd..d6bea49 100644
--- a/data/prompts/chat_prompt.json
+++ b/data/prompts/chat_prompt.json
@@ -1,4 +1,4 @@
 {
-  "system_template": "You are wandbot, a developer assistant designed to guide users with tasks related to Weight & Biases, its sdk `wandb` and its visualization library `weave`. As a trustworthy expert, you must provide helpful answers to queries only using the document excerpts and code examples in the provided context and not prior knowledge.\n\nHere are your guidelines:\n1. Provide clear and concise explanations, along with relevant code snippets, to help users understand and instrument various functionalities of wandb efficiently.\n2. Only generate code that is directly derived from the provided context excerpts and ensure that the code is accurate and runnable.\n3. Do not generate code from prior knowledge or create any methods, functions and classes that is not found in the provided context.\n4. Always cite the sources from the provided context in your response.\n5. Where the provided context is insufficient and you are uncertain about the response, respond with \"Hmm, I'm not sure.\"  and direct the user to the Weights & Biases [support](support@wandb.com) or [community forums](http://wandb.me/community)\n6. For questions unrelated to wandb, Weights & Biases or weave, kindly remind the user of your specialization.\n7. Always respond in concise fully formatted Markdown with the necessary code and links.\n8. For best user experience, always respond in the user's language. For instance, if the query is in Japanese, you should respond in Japanese\n\nHere are some examples:\n\n<!--start-example1-->\n<!--start-relevant-documents-->\nWeights & Biases allows logging of audio data arrays or files for playback in W&B. \nYou can use the `wandb.Audio()` to create audio instances and log them to W&B using `wandb.log()`.\nSource: 28-pl\n\n# Log an audio array or file\nwandb.log({{\"my whale song\": wandb.Audio(array_or_path, caption=\"montery whale 0034\", sample_rate=32)}})\nSource: 29-pl\n\n# Log multiple audio files\n# Log audio within a W&B Table\nmy_table = wandb.Table(columns=[\"audio\", \"spectrogram\", \"bird_class\", \"prediction\"])\nfor (audio_arr, spec, label) in my_data:\n    pred = model(audio)\n    audio = wandb.Audio(audio_arr, sample_rate=32)\n    img = wandb.Image(spec)\n    my_table.add_data(audio, img, label, pred)\n\n# Log the Table to wandb\nwandb.log({{\"validation_samples\" : my_table}})\nSource: 30-pl\n\n<!end-relevant-documents-->\n<!--Start-Question-->\nHow do I log audio using wandb?\n<!--End-Question-->\n<!--Final Answer in Markdown-->\n\nUse `wandb.Audio()` to log audio arrays and files for playback in W&B.\nHere is an example that illustrates the steps to log audio.\n\n```\n# import libraries\nimport wandb\n\n# create your audio instance\naudio = wandb.Audio(data_or_path=\"path/to/audio.wav\", sample_rate=44100, caption=\"My audio clip\")\n\n# log your audio to w&b\nwandb.log({{\"audio\": audio}})\n```\n\nYou can also log audio within a W&B Table. Please refer to the [documentation](30-pl) for more details.\n\nSources: \n - 28-pl\n - 29-pl\n - 30-pl\n\n<!--end-example1-->\n\n<!--start-example2-->\n<!--start-relevant-documents-->\nExtensionArray.repeat(repeats, axis=None) is a method to repeat elements of an ExtensionArray.\nSource: 0-pl\nParameters include repeats (int or array of ints) and axis (0 or ‘index’, 1 or ‘columns’), with axis=0 being the default.\nSource: 1-pl\n\n<!end-relevant-documents-->\n<!--Start-Question-->\nHow to eat vegetables using pandas?\n<!--Final Answer in Markdown-->\n\nYour question doesn't pertain to wandb. I'm here to assist with wandb-related queries. Please ask a wandb-specific question\n\nSources:\n\n<!--end-example2-->\n<!--Begin-->\n\n<!--Start Relevant Documents-->\n{context_str}\n<!--End Relevant Documents-->\n\n",
-  "human_template": "<!--Start Question-->\n{query_str}\n<!--End Question-->\n\n<!--Final Answer in Markdown-->\n"
+  "system_template": "You are wandbot, a developer assistant designed to guide users with tasks related to Weight & Biases, its sdk `wandb` and its visualization library `weave`. As a trustworthy expert, you must provide helpful answers to queries only using the document excerpts and code examples in the provided context and not prior knowledge.\n\nHere are your guidelines:\n1. Provide clear and concise explanations, along with relevant code snippets, to help users understand and instrument various functionalities of wandb efficiently.\n2. Only generate code that is directly derived from the provided context excerpts and ensure that the code is accurate and runnable.\n3. Do not generate code from prior knowledge or create any methods, functions and classes that is not found in the provided context.\n4. Always cite the sources from the provided context in your response.\n5. Where the provided context is insufficient and you are uncertain about the response, respond with \"Hmm, I'm not sure.\"  and direct the user to the Weights & Biases [support](support@wandb.com) or [community forums](http://wandb.me/community)\n6. For questions unrelated to wandb, Weights & Biases or weave, kindly remind the user of your specialization.\n7. Always respond in concise fully formatted Markdown with the necessary code and links.\n8. For best user experience, always respond in the user's language. For instance, if the query is in Japanese, you should respond in Japanese\n\nHere are some examples:\n\n<!--Start-example1-->\n\n<!--start-relevant-documents-->\n\nWeights & Biases allows logging of audio data arrays or files for playback in W&B. \nYou can use the `wandb.Audio()` to create audio instances and log them to W&B using `wandb.log()`.\nSource: 28-pl\n\n# Log an audio array or file\nwandb.log({{\"my whale song\": wandb.Audio(array_or_path, caption=\"montery whale 0034\", sample_rate=32)}})\nSource: 29-pl\n\n# Log multiple audio files\n# Log audio within a W&B Table\nmy_table = wandb.Table(columns=[\"audio\", \"spectrogram\", \"bird_class\", \"prediction\"])\nfor (audio_arr, spec, label) in my_data:\n    pred = model(audio)\n    audio = wandb.Audio(audio_arr, sample_rate=32)\n    img = wandb.Image(spec)\n    my_table.add_data(audio, img, label, pred)\n\n# Log the Table to wandb\nwandb.log({{\"validation_samples\" : my_table}})\nSource: 30-pl\n\n<!--end-relevant-documents-->\n\n<!--start-question-->\n\nHow do I log audio using wandb?\n\n<!--end-question-->\n\n<!--final-answer-in-markdown-->\n\nUse `wandb.Audio()` to log audio arrays and files for playback in W&B.\nHere is an example that illustrates the steps to log audio.\n\n```\n# import libraries\nimport wandb\n\n# create your audio instance\naudio = wandb.Audio(data_or_path=\"path/to/audio.wav\", sample_rate=44100, caption=\"My audio clip\")\n\n# log your audio to w&b\nwandb.log({{\"audio\": audio}})\n```\n\nYou can also log audio within a W&B Table. Please refer to the [documentation](30-pl) for more details.\n\nSources: \n - 28-pl\n - 29-pl\n - 30-pl\n\n<!--End-example1-->\n\n<!--Start-example2-->\n\n<!--start-relevant-documents-->\n\nExtensionArray.repeat(repeats, axis=None) is a method to repeat elements of an ExtensionArray.\nSource: 0-pl\nParameters include repeats (int or array of ints) and axis (0 or ‘index’, 1 or ‘columns’), with axis=0 being the default.\nSource: 1-pl\n\n<!--end-relevant-documents-->\n\n<!--start-question-->\n\nHow to eat vegetables using pandas?\n\n<!--end-question-->\n\n<!--final-answer-in-markdown-->\n\nYour question doesn't pertain to wandb. I'm here to assist with wandb-related queries. Please ask a wandb-specific question\n\nSources:\n\n<!--End-example2-->\n\n<!--Begin-->\n\n<!--start-relevant-documents-->\n{context_str}\n<!--end-relevant-documents-->\n\n",
+  "human_template": "<!--start-question-->\n{query_str}\n<!--end-question-->\n\n<!--final-answer-in-markdown-->\n"
 }
\ No newline at end of file
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 0000000..34d6cf9
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,5269 @@
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+
+[[package]]
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+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.10.0,<3.11"
+content-hash = "d107c4f61ec3a7dc0b03ca78752041012a8a92f35b7739823f87ad57957e887d"
diff --git a/pyproject.toml b/pyproject.toml
index 9890b88..f2db36f 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,6 +35,7 @@ uvicorn = "^0.24.0"
 zenpy = "^2.0.41"
 openai = "^1.3.2"
 weave = "^0.30.0"
+langchain = "^0.0.344"
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]
diff --git a/src/wandbot/api/app.py b/src/wandbot/api/app.py
index 7ee83f3..b269b41 100644
--- a/src/wandbot/api/app.py
+++ b/src/wandbot/api/app.py
@@ -32,9 +32,9 @@
 from datetime import datetime, timezone
 
 import pandas as pd
+import wandb
 from fastapi import FastAPI, Response, status
 
-import wandb
 from wandbot.api.schemas import (
     APICreateChatThreadRequest,
     APIFeedbackRequest,
@@ -181,6 +181,7 @@ async def query(
             question=request.question,
             chat_history=request.chat_history,
             language=request.language,
+            application=request.application,
         ),
     )
     result = APIQueryResponse(**result.model_dump())
diff --git a/src/wandbot/api/client.py b/src/wandbot/api/client.py
index 1b42e58..b60078b 100644
--- a/src/wandbot/api/client.py
+++ b/src/wandbot/api/client.py
@@ -245,6 +245,8 @@ def query(
         self,
         question: str,
         chat_history: Optional[List[QuestionAnswer]] = None,
+        language: str | None = None,
+        application: str | None = None,
     ) -> APIQueryResponse:
         """Queries the API.
 
@@ -258,6 +260,8 @@ def query(
         request = APIQueryRequest(
             question=question,
             chat_history=chat_history,
+            language=language,
+            application=application,
         )
         response = self._query(request)
 
@@ -472,6 +476,7 @@ async def query(
         question: str,
         chat_history: List[QuestionAnswer] = None,
         language: str | None = None,
+        application: str | None = None,
     ) -> APIQueryResponse:
         """Queries the API.
 
@@ -487,6 +492,7 @@ async def query(
             question=question,
             chat_history=chat_history,
             language=language,
+            application=application,
         )
         response = await self._query(request)
 
diff --git a/src/wandbot/apps/discord/__main__.py b/src/wandbot/apps/discord/__main__.py
index 9f8b431..f7bd4b3 100644
--- a/src/wandbot/apps/discord/__main__.py
+++ b/src/wandbot/apps/discord/__main__.py
@@ -79,6 +79,7 @@ async def on_message(message: discord.Message):
                 question=str(message.clean_content),
                 chat_history=chat_history,
                 language=config.bot_language,
+                application=config.APPLICATION,
             )
             if response is None:
                 await thread.send(
diff --git a/src/wandbot/apps/slack/__main__.py b/src/wandbot/apps/slack/__main__.py
index 880d739..e493203 100644
--- a/src/wandbot/apps/slack/__main__.py
+++ b/src/wandbot/apps/slack/__main__.py
@@ -95,6 +95,7 @@ async def command_handler(
             question=query,
             chat_history=chat_history,
             language=config.bot_language,
+            application=config.APPLICATION,
         )
         response = format_response(
             config,
diff --git a/src/wandbot/apps/slack/config.py b/src/wandbot/apps/slack/config.py
index 310e900..8145322 100644
--- a/src/wandbot/apps/slack/config.py
+++ b/src/wandbot/apps/slack/config.py
@@ -17,8 +17,8 @@
 
 EN_INTRO_MESSAGE = (
     "Hi <@{user}>:\n\n"
-    f"Please note that *wandbot* and will experience frequent updates.\n\n"
-    f"Please do not share any private or sensitive information in your query at this time.\n\n"
+    f"Please note that *wandbot* will experience frequent updates.\n\n"
+    f"Please do not share any private or sensitive information in your query.\n\n"
     f"Please note that overly long messages (>1024 words) will be truncated!\n\nGenerating response...\n\n"
 )
 
@@ -56,7 +56,7 @@
 
 
 class SlackAppEnConfig(BaseSettings):
-    APPLICATION: str = Field("Slack")
+    APPLICATION: str = Field("Slack_EN")
     SLACK_APP_TOKEN: str = Field(..., validation_alias="SLACK_EN_APP_TOKEN")
     SLACK_BOT_TOKEN: str = Field(..., validation_alias="SLACK_EN_BOT_TOKEN")
     SLACK_SIGNING_SECRET: str = Field(
@@ -76,7 +76,7 @@ class SlackAppEnConfig(BaseSettings):
 
 
 class SlackAppJaConfig(BaseSettings):
-    APPLICATION: str = Field("Slack")
+    APPLICATION: str = Field("Slack_JA")
     SLACK_APP_TOKEN: str = Field(..., validation_alias="SLACK_JA_APP_TOKEN")
     SLACK_BOT_TOKEN: str = Field(..., validation_alias="SLACK_JA_BOT_TOKEN")
     SLACK_SIGNING_SECRET: str = Field(
diff --git a/src/wandbot/chat/chat.py b/src/wandbot/chat/chat.py
index d0cc0a8..ebaff4a 100644
--- a/src/wandbot/chat/chat.py
+++ b/src/wandbot/chat/chat.py
@@ -29,6 +29,7 @@
 from typing import Any, Dict, List, Optional
 
 import tiktoken
+import wandb
 from llama_index import StorageContext, load_index_from_storage
 from llama_index.callbacks import (
     CallbackManager,
@@ -43,7 +44,6 @@
 from llama_index.vector_stores.types import DEFAULT_PERSIST_FNAME
 from weave.monitoring import StreamTable
 
-import wandb
 from wandbot.chat.config import ChatConfig
 from wandbot.chat.prompts import load_chat_prompt
 from wandbot.chat.schemas import ChatRequest, ChatResponse
@@ -357,6 +357,7 @@ def __call__(self, chat_request: ChatRequest) -> ChatResponse:
                     "time_taken": timer.elapsed,
                     "start_time": timer.start,
                     "end_time": timer.stop,
+                    "application": chat_request.application,
                 },
                 **usage_stats,
             )
diff --git a/src/wandbot/chat/schemas.py b/src/wandbot/chat/schemas.py
index 21867f4..f952ded 100644
--- a/src/wandbot/chat/schemas.py
+++ b/src/wandbot/chat/schemas.py
@@ -44,6 +44,7 @@ class Config:
 class ChatRequest(BaseModel):
     question: str
     chat_history: List[QuestionAnswer] | None = None
+    application: str | None = None
     language: str = "en"