You will get AI Memory Chatbot — Context Aware Conversational Assistant


Project details
I build context-aware AI chatbots that remember your entire conversation history for natural interactions.
Unlike basic chatbots, my solution uses LangChain memory for persistent context and Groq for fast responses.
Stack: Python, LangChain, Groq, Streamlit
Unlike basic chatbots, my solution uses LangChain memory for persistent context and Groq for fast responses.
Stack: Python, LangChain, Groq, Streamlit
Project Type
Customer Support, OtherWhat's included
| Service Tiers |
Starter
$25
|
Standard
$45
|
Advanced
$80
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 2 | 3 | 5 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10
Additional Revision
+$5
API Integration
(+ 1 Day)
+$20
FLow Design
(+ 2 Days)
+$15Frequently asked questions
About Shivam
AI Chatbot Developer | ELK Stack | Python & SQL Automation
Lucknow, India - 3:26 am local time
I help businesses connect AI with real data — so your chatbot doesn’t just respond, it understands context and retrieves accurate information.
Here’s how I can help you:
• Build memory-enabled AI chatbots
• Develop RAG (Retrieval-Augmented Generation) systems
• Create SQL AI agents (ask your database in plain English)
• Automate workflows using Python
• Set up ELK Stack for log monitoring and analytics
Tech Stack:
Python, LangChain, Groq, HuggingFace, ChromaDB, SQLite, PostgreSQL, ELK Stack
My approach:
• Clean backend architecture
• Structured data handling
• Scalable and maintainable design
• Clear and responsive communication
If you’re building a product and need AI-powered automation, database-connected chat systems, or intelligent log analysis — let’s discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Shivam can start the project.
Delivery time starts when Shivam receives requirements from you.
Shivam works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis
Understand chatbot purpose, tone and memory requirements.
Memory Setup
Configure Langchain memory for conversation history.
