I will develop cost effective ai agent or rag or rule based chatbot


About this gig
About this Gig
I am experienced in developing AI-agentic, RAG-enabled and Rule-based chatbot services on pre-set conversation journeys set by you!
Types of workflows that can be integrated:
- AI-agentic: Integrate your backend APIs like magic! Either through LLM agentic workflows using proprietary LLMs and APIs like ChatGPT, Grok or Claudel, or choose a more cost-effective option by opting for open-source quantized models; Llama and DeepSeek and curate custom agents using orchestration frameworks such as LlamaIndex and Langchain.
- AI-agentic + RAG: Looking for chatbots that provide support about your services, business or policies? An RAG pipeline integrated with an LLM response synthesizer and the right context-retention strategy would be the best choice for you!
- AI-agentic + Rule-based: Not sure enough to let your LLM agents control all of the workflow? No worries! LLM calls will be scaffolded inside a pre-set conversational journey provided by you! This enables you to define scope of responses based on user's keywords/intent.
Start your journey into standing out as an exceptional product, service or business by integrating AI workflows, providing great user experience!
Get to know Naman Puri
- FromIndia
- Member sinceDec 2023
Languages
English, French
FAQ
Can the chatbot service be completely Rule-based i.e. with No AI-agentic workflow?
Yes! My premium plan offers you to provide a pre-set conversational journey which can solely work on user's intent and keywords.
Is the cost for LLM-API based integration included in the plan?
Models like Grok, Claude, and OpenAI's ChatGPT, which offer APIs for LLM integration, would incur additional costs based on the pricing plan selected by the client from the LLM provider.
How is this cost-effective?
This is subject to the client's desired level of response accuracy. A cost-effective option could run a small LLM without the need for a GPU server!

