I will build langchain ai chatbots and rag applications with openai and vector database


About this gig
I build production AI chatbots and RAG systems that actually work from simple Q&A bots to complex multi-agent applications with document retrieval.
What I Deliver
Chatbot Development: LangChain conversation chains and agents. OpenAI GPT-4 / Claude integration. Custom prompt engineering and templates. Conversation memory and context management.
RAG (Retrieval-Augmented Generation): Document ingestion and chunking strategies. Vector embeddings with OpenAI/HuggingFace. Vector databases: Chroma, Pinecone.
User Interfaces: Streamlit chat interfaces. FastAPI backend for production.
Tech Stack: LangChain, LlamaIndex, OpenAI GPT-4, Claude, HuggingFace, Chroma, Pinecone, Weaviate, FastAPI, Streamlit
Background:
- Built course recommender chatbot using LangChain, Chroma, and OpenAI
- Created career guidance bot with profile-based recommendations
- Developed serverless AI proofreader on AWS with OpenAI integration
- Published ML research on text classification and neural networks (IEEE, Springer)
Use Cases:
- Customer support chatbots
- Document Q&A systems
- Knowledge base assistants
- Course/product recommenders
- Internal company assistants
- Legal/medical document analysis
Get to know Asadullah
Python Backend Developer, AWS, Data Engineering
- FromBangladesh
- Member sinceOct 2023
- Avg. response time1 hour
- Last delivery9 months
Languages
Bengali, English

