diff --git a/usecases/llm/.env.sample b/usecases/llm/.env.sample
new file mode 100644
index 00000000..38bb9870
--- /dev/null
+++ b/usecases/llm/.env.sample
@@ -0,0 +1,13 @@
+export OPENAI_API_KEY="xxxxxx" 
+export PINECONE_API_KEY="xxxxxx"
+export PINE_ENV="xxxxxx"
+export AWS_ACCESS_KEY="xxxxxx"
+export AWS_SECRET_KEY="xxxxxx"
+export AWS_BUCKET_NAME="xxxxxx"
+export AWS_REGION_S3="xxxxxx"
+export PG_DB="xxxxxx"
+export PG_HOST="xxxxxx"
+export PG_USER="xxxxxx"
+export PG_PASSWORD="xxxxxx"
+export DOZER_APP_ID="xxxxxx"
+export DOZER_TOKEN="xxxxxx"
\ No newline at end of file
diff --git a/usecases/llm/Dockerfile b/usecases/llm/Dockerfile
new file mode 100644
index 00000000..b16fda19
--- /dev/null
+++ b/usecases/llm/Dockerfile
@@ -0,0 +1,17 @@
+# Use the official Python 3.9 image as the base image
+FROM python:3.9
+
+# Set the working directory within the container
+WORKDIR /usr/src/app
+
+# Copy the requirements.txt file into the container
+COPY requirements.txt .
+
+# Install dependencies from requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy your application files into the container
+COPY . .
+
+EXPOSE 8000
+CMD ["python", "-m", "chainlit", "run", "app.py", "--port" ,"8000"]
\ No newline at end of file
diff --git a/usecases/llm/LICENSE b/usecases/llm/LICENSE
new file mode 100644
index 00000000..90a90bbd
--- /dev/null
+++ b/usecases/llm/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2023 Mrunmay Shelar
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/usecases/llm/README.md b/usecases/llm/README.md
new file mode 100644
index 00000000..7b00aafd
--- /dev/null
+++ b/usecases/llm/README.md
@@ -0,0 +1,12 @@
+# Hyper-personalized chatbots using LLMs, Dozer and Vector Databases for Banking and Finance
+
+In this example, we will be using Dozer along with Chainlit, Langchain and Pinecone. 
+
+### Pre-requisites
+
+1. Pinecone account
+2. OpenAI API key
+3. Python 3.9/ Docker
+   
+### Setup
+
diff --git a/usecases/llm/app.py b/usecases/llm/app.py
new file mode 100644
index 00000000..668f67da
--- /dev/null
+++ b/usecases/llm/app.py
@@ -0,0 +1,254 @@
+import chainlit as cl
+import os
+from langchain.prompts import  PromptTemplate
+from langchain.chains import LLMChain
+from langchain.embeddings import HuggingFaceEmbeddings
+from langchain.schema import HumanMessage
+from time import sleep
+## For Vector DB
+import pinecone
+import uuid
+from langchain.vectorstores import Pinecone
+from langchain.chains.conversation.memory import ConversationBufferWindowMemory
+from langchain.chains import RetrievalQA
+from langchain.agents import Tool
+#from langchain import PromptTemplate, HuggingFaceHub, LLMChain
+from langchain.embeddings import HuggingFaceEmbeddings
+from langchain.agents import initialize_agent
+from langchain.embeddings.openai import OpenAIEmbeddings
+from langchain.chat_models import ChatOpenAI
+from langchain.chains import RetrievalQAWithSourcesChain
+from langchain.prompts.chat import ChatPromptTemplate,HumanMessagePromptTemplate,SystemMessagePromptTemplate
+from chainlit import user_session
+import os
+from pydozer.api import ApiClient
+from langchain.agents import ConversationalChatAgent, AgentExecutor
+import re
+import json
+
+def show_json(obj):
+    display(json.loads(obj.model_dump_json()))
+
+
+def wait_on_run(run, thread):
+    while run.status == "queued" or run.status == "in_progress":
+        run = client.beta.threads.runs.retrieve(
+            thread_id=thread.id,
+            run_id=run.id,
+        )
+        sleep(0.5)
+    return run
+### Dozer
+from openai import OpenAI
+client = OpenAI()
+DOZER_CLOUD_HOST = "data.getdozer.io:443"
+
+def get_api_client(app_id=None, token=None):
+    return ApiClient("financial_profile", url=DOZER_CLOUD_HOST, app_id=app_id,
+                     secure=True, token=token) if app_id else ApiClient("financial_profile", url="localhost:80")
+
+
+customer_client = get_api_client(app_id=os.environ.get("DOZER_APP_ID"), token=os.environ.get("DOZER_TOKEN"))
+
+def getCustomerData(input):
+    data = customer_client.query({"$filter": {"id":input}})
+    rec = data.records[0].record
+    id = rec.values[0].int_value
+    name = rec.values[1].string_value
+    income = rec.values[2].int_value
+    age = rec.values[3].int_value
+    dependents = rec.values[4].int_value
+    address = rec.values[5].string_value
+    prob = rec.values[6].float_value
+    credit_amt = rec.values[7].int_value
+    repay_status = rec.values[8].float_value
+    util_ratio = rec.values[9].float_value
+
+    
+    return [id,name,income,age,dependents, address, prob,credit_amt,repay_status,util_ratio ]
+
+
+
+#user_env = user_session.get(".env")
+OPEN_API_KEY = os.environ.get("OPENAI_API_KEY")
+PINECONE_API_KEY = os.environ.get("PINECONE_API_KEY")
+PINECONE_ENV = os.environ.get("PINE_ENV")
+ # platform.openai.com
+model_name = 'text-embedding-ada-002'
+
+
+
+# find ENV (cloud region) next to API key in console
+index_name = 'langchain-retrieval-agent'
+pinecone.init(
+    api_key=PINECONE_API_KEY,
+    environment=PINECONE_ENV
+)
+
+
+#embeddings = OpenAIEmbeddings()
+
+
+text_field = "Answer"
+index = pinecone.Index('langchain-retrieval-agent')
+
+file = client.files.create(
+  file=open("/home/mrunmay/Desktop/Dozer/dozer-samples/usecases/llm/data/BankFAQs.csv", "rb"),
+  purpose='assistants'
+)
+
+# switch back to normal index for langchain
+#index = pinecone.Index(index_name)
+
+
+def customerProfile(input):
+    data = getCustomerData(int(input))
+    id  = data[0]
+    name1 = data[1]
+    income = data[2]
+    age= data[3]
+    dependents= data[4]
+    address= data[5]
+    prob = data[6]
+    credit_amt= data[7]
+    repay_status= data[8]
+    util_ratio= data[9]
+
+    profile = {
+        "id": id,
+        "name": name1,
+        "age": age,
+        "income": income,
+        "dependents": dependents,
+        "address": address,
+        "prob": prob,
+        "credit_amt": credit_amt,
+        "repay_status": repay_status,
+        "util_ratio": util_ratio
+
+
+    }
+    return json.dumps(profile)
+
+tools = [
+    {
+        "type": "function",
+        "function": {
+            "name": "customerProfile",
+            "description": "Useful when you need customer data to decide eligibility for a particular credit card. Use to check the probability of default and available balance to use it for eligibility",
+            "parameters": {
+                "type": "object",
+                "properties": {
+                    "id": {"type": "number"}
+
+        },
+        "required": ["id"]
+
+    }},
+
+        
+    }, 
+    {
+        "type": "code_interpreter",
+    }
+]
+assistant = client.beta.assistants.create(
+    name="Bank Assistant",
+    instructions="You are a bank chat bot. Help the client with all their banking needs. Calculate if the client is eligible for a credit card or not depending upon their customer profile",
+    tools=tools,
+    model="gpt-4-1106-preview",
+    file_ids=[file.id]
+    
+)
+
+
+def setName(userName):
+    global name
+    name = userName
+
+
+    
+
+global res
+@cl.on_chat_start
+
+async def start():
+    intro = "Hi there, I am an assistant for Bank A. I am here to assist you with all your banking needs! Please enter your id:  "
+    
+    res = await cl.AskUserMessage(content=intro,timeout=200,raise_on_timeout=True).send()
+    global id
+    id = int(res['content'])
+    greeting = f"Hi {res['content']}. What brings you here?"
+    await cl.Message(content=greeting).send()
+    setName(res['content'])
+    # global credit 
+    # credit = getCredit(int(res['content']))
+    global customerinfo
+    customerinfo = customerProfile(int(res['content']) )
+
+
+    #print(customerinfo)
+    thread = client.beta.threads.create()
+    cl.user_session.set("chain", thread)
+
+
+
+@cl.on_message
+async def main(text_rep: str):
+    thread = cl.user_session.get("chain") 
+
+    #print(text_rep.content)
+    #print(thread.id, thread)
+    message = client.beta.threads.messages.create(
+        thread_id=thread.id,
+        role="user",
+        content=f"{text_rep.content}"
+    )
+    run = client.beta.threads.runs.create(
+        thread_id=thread.id,
+        assistant_id=assistant.id,
+        model="gpt-4-1106-preview",
+        instructions=f"Please help the user according to his ID: {id} ",
+        tools = tools,
+
+    )  
+
+    wait_on_run(run, thread)
+    if run.status == "requires_action":
+
+        tool_id = run.required_action.submit_tool_outputs.tool_calls
+        run = client.beta.threads.runs.submit_tool_outputs(
+        thread_id=thread.id,
+        run_id=run.id,
+        tool_outputs=[
+            {
+            "tool_id": tool_id[0].id,
+            "output": customerinfo,
+        }
+        ]
+
+        )
+
+        
+    
+
+    wait_on_run(run, thread)
+
+
+
+    messages = client.beta.threads.messages.list(
+        thread_id=thread.id
+    )
+    obj_string = str(messages)
+    pattern = re.compile(
+    r"ThreadMessage\(id='(?P<id>[^']*)', assistant_id='(?P<assistant_id>[^']*)', content=\[MessageContentText\(text=Text\((annotations=\[.*?\], )?value=\"(?P<content>.*?)\"\), type='(?P<message_content_text_type>[^']*)'\)\], created_at=(?P<created_at>\d+), file_ids=\[(?P<file_ids>.*?)\], metadata=\{(?P<metadata>.*?)\}, object='(?P<object>[^']*)', role='(?P<role>[^']*)', run_id='(?P<run_id>[^']*)', thread_id='(?P<thread_id>[^']*)'\)"
+    )
+    matches = pattern.finditer(obj_string)
+    for match in matches:
+        text_rep = match.group('content').replace('\\n', '\n').replace('\\"', '"')
+
+
+    #print(content)
+    await cl.Message(
+        content=text_rep ,
+    ).send()
\ No newline at end of file
diff --git a/usecases/llm/chainlit.md b/usecases/llm/chainlit.md
new file mode 100644
index 00000000..180f8e37
--- /dev/null
+++ b/usecases/llm/chainlit.md
@@ -0,0 +1,31 @@
+# Welcome to GoldenGate Bank ! 🏦💵
+
+Hi there, Customer ! 👋 We're excited to have you on board. GoldenGate Bank has been serving customers since 1970 . With a commitment to excellence, we have grown into a reputable financial institution, providing a wide range of services to meet your banking needs.
+
+# Our Services 🎄🎄🎁
+
+At 'GoldenGate Bank', we offer a comprehensive range of banking services to cater to your financial requirements. Our services include:
+
+**Savings Accounts**: Choose from a variety of savings accounts with competitive interest rates and personalized features.   
+**Current Accounts**: Our current accounts are designed to support businesses and individuals with seamless transaction capabilities.  
+**Fixed Deposits**: Benefit from attractive interest rates and flexible tenure options with our fixed deposit accounts.
+
+# Credit Cards 💳💳
+
+Experience the convenience and benefits of GoldenGate Bridge credit cards, tailored to suit your lifestyle and spending habits. We offer the following credit cards:
+
+1. **Rewards Card** 📦🎁
+Earn reward points on every purchase.       
+Eligibility: Minimum monthly income of $X,XX and a credit score of [Credit Score Requirement].
+
+2. **Travel Card** ✈️🧳  
+Enjoy exclusive travel perks and offers.  
+Eligibility: Minimum monthly income of $X,XX and a credit score of [Credit Score Requirement].
+
+3. **Cashback Card** 💵💵  
+Get cashback on eligible purchases.  
+Eligibility: Minimum monthly income of $X,XX and a credit score of [Credit Score Requirement].
+
+4. **Premium Card** 💰💲  
+Access premium benefits, including airport lounge access and concierge services.  
+Eligibility: Minimum monthly income of $X,XXX and a credit score of [Credit Score Requirement].
\ No newline at end of file
diff --git a/usecases/llm/data/BankFAQs.xlsx b/usecases/llm/data/BankFAQs.xlsx
new file mode 100644
index 00000000..ae529874
Binary files /dev/null and b/usecases/llm/data/BankFAQs.xlsx differ
diff --git a/usecases/llm/docker-compose.yml b/usecases/llm/docker-compose.yml
new file mode 100644
index 00000000..f9b0b92c
--- /dev/null
+++ b/usecases/llm/docker-compose.yml
@@ -0,0 +1,13 @@
+version: '4.25' 
+
+services:
+  app:
+    build:
+      context: .
+      dockerfile: Dockerfile
+    volumes:
+      - .:/usr/src/app
+    env_file:
+      - .env
+    ports:
+      - '8000:8000'
\ No newline at end of file
diff --git a/usecases/llm/dozer-config.yaml b/usecases/llm/dozer-config.yaml
new file mode 100644
index 00000000..a2466990
--- /dev/null
+++ b/usecases/llm/dozer-config.yaml
@@ -0,0 +1,63 @@
+app_name: llm-sample
+version: 1
+connections:
+  - name: onnx
+    config : !Postgres
+      user: "{{PG_USER}}"
+      password: "{{PG_PASSWORD}}"
+      host: "{{PG_HOST}}"
+      port: 5432
+      database: "{{PG_DB}}"
+  - name: s3data
+    config: !S3Storage
+      details:
+        access_key_id: "{{AWS_ACCESS_KEY}}"	
+        secret_access_key: "{{AWS_SECRET_KEY}}"
+        region: "{{AWS_REGION_S3}}"
+        bucket_name: "{{AWS_BUCKET_NAME}}"
+      tables:
+        - !Table
+          name: customers
+          config: !CSV
+            path: customer_data/
+            extension: .csv
+
+sources:
+  - name: credit
+    table_name: cred2
+    connection: onnx
+
+  - name: data
+    table_name: customers
+    connection: s3data
+
+sql: | 
+
+
+  WITH template AS 
+
+  (SELECT c.ID as ID, c.Name as name,c.Income as total_income, c.Age as age,c.Dependents as dependents, c.address as address  FROM data c ), 
+
+  res1 AS (  SELECT torch_jit( LIMIT_BAL, SEX, EDUCATION, MARRIAGE, AGE, PAY_AMT6,BILL_AMT6,PAY_6,PAY_AMT5,BILL_AMT5,PAY_5,PAY_AMT4,BILL_AMT4,PAY_4,
+                 PAY_AMT3,BILL_AMT3,PAY_3,
+                 PAY_AMT2,BILL_AMT2,PAY_2,
+                 PAY_AMT1,BILL_AMT1,PAY_0) as result, ID as id , LIMIT_BAL, 
+                 (PAY_0 + PAY_2 + PAY_3 + PAY_4 + PAY_5 + PAY_6)/5 as avg_repayment_status,
+                 (BILL_AMT1+BILL_AMT2+BILL_AMT3+BILL_AMT4+BILL_AMT5+BILL_AMT6)/(LIMIT_BAL * 6) as utilization_ratio
+                 from credit )
+  SELECT ID as id, name, total_income, age, dependents, address, result, LIMIT_BAL as avail_credit, avg_repayment_status, utilization_ratio
+  INTO customer_profile
+  FROM template t
+  JOIN res1 r
+  ON t.ID = r.id;
+
+endpoints:
+  - name: financial_profile
+    path: /customers 
+    table_name: customer_profile  
+
+
+udfs:
+  - name: torch_jit
+    config: !Onnx
+      path: ./sequential_31.onnx
\ No newline at end of file
diff --git a/usecases/llm/poetry.lock b/usecases/llm/poetry.lock
new file mode 100644
index 00000000..18eca077
--- /dev/null
+++ b/usecases/llm/poetry.lock
@@ -0,0 +1,4070 @@
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
+
+[[package]]
+name = "aiofiles"
+version = "23.2.1"
+description = "File support for asyncio."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"},
+    {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
+]
+
+[[package]]
+name = "aiohttp"
+version = "3.8.6"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "aiohttp-3.8.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:41d55fc043954cddbbd82503d9cc3f4814a40bcef30b3569bc7b5e34130718c1"},
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+
+[[package]]
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+version = "3.17.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.8"
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+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 = "^3.9"
+content-hash = "ddc8d913b05de44f4dd2edfd7dea61fc199f48db7d0701e9af9f50880697a196"
diff --git a/usecases/llm/pyproject.toml b/usecases/llm/pyproject.toml
new file mode 100644
index 00000000..b0238290
--- /dev/null
+++ b/usecases/llm/pyproject.toml
@@ -0,0 +1,27 @@
+[tool.poetry]
+name = "llm-sample"
+version = "0.1.0"
+description = ""
+authors = ["Mrunmay Shelar <mrunmayshelar@gmail.com>"]
+license = "MIT"
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.9"
+numpy = "1.25"
+pandas = "2.1"
+langchain = "^0.0.320"
+datasets = "^2.14.5"
+huggingface-hub = "^0.18.0"
+sentence-transformers = "^2.2.2"
+pinecone-client = "^2.2.4"
+chainlit = "^0.7.301"
+tiktoken = "^0.5.1"
+farm-haystack = "^1.21.2"
+openai = "^1.2.0"
+pydozer = "0.1.35"
+protobuf = "^4.25.0"
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/usecases/llm/requirements.txt b/usecases/llm/requirements.txt
new file mode 100644
index 00000000..22b6c976
--- /dev/null
+++ b/usecases/llm/requirements.txt
@@ -0,0 +1,11 @@
+pydozer
+numpy==1.25
+pandas ==2.1
+langchain
+datasets
+chainlit
+huggingface-hub
+sentence-transformers
+openai
+pinecone-client
+tiktoken
\ No newline at end of file