I will build an ai rag chatbot and a knowledge base backend


Level 1
About this gig
What I can build
- AI RAG chatbot
- Knowledge base backend
- Document upload and processing
- PDF, DOCX, TXT and URL ingestion
- Text chunking and embeddings
- Vector database integration
- Semantic search
- LLM-powered responses
- Source citations
- REST APIs
- Chat history
- User authentication
- Admin/document management
- Dockerized deployment
- Cloud deployment
Technology Stack
- Python
- FastAPI
- Pydantic
- PostgreSQL
- Redis
AI / RAG
- OpenAI
- Anthropic
- LangChain
- Custom RAG pipelines
Vector Search
- PostgreSQL + pgvector
- Qdrant
- Pinecone
- Weaviate
- Chroma
- FAISS
- Elasticsearch
Infrastructure
- Docker
- AWS
- GCP
- DigitalOcean
- Nginx
Perfect for
- SaaS applications
- Customer support bots
- Internal company knowledge bases
- Documentation assistants
- AI-powered search
- Product knowledge assistants
- HR and employee assistants
- E-commerce assistants
- Research/document assistants
- Business automation
Why work with me?
I am a Senior Software Engineer with 10+ years of software development experience, specializing in Python backend systems, APIs, databases, distributed systems, cloud infrastructure, and scalable application architecture.
Get to know Mr. S
working
Level 1
- FromBangladesh
- Member sinceJul 2017
- Avg. response time1 hour
- Last delivery4 months
Languages
English
Other AI Development Services I Offer
FAQ
Can you add RAG to my existing application?
Yes. I can integrate RAG into an existing Python/FastAPI application or build the RAG backend from scratch.
Which vector databases do you support?
I can work with technologies such as Qdrant and pgvector, depending on your application's requirements.
Can you integrate OpenAI or Gemini?
Yes. I can integrate LLM and embedding APIs such as OpenAI, Gemini, or other compatible providers.

