Need a langchain/llamaindex RAG architecture for industry grade chat with PDF application using GPT-4 API
Budget: $100 – $101 USD
I am looking for a skilled developer to design and implement a langchain/llamaindex RAG architecture and incorporate GPT index, Langsmith, and GPT cache for an industry-grade chat application. The application should integrate a PDF feature and have capabilities for document source lines extraction using llamaindex hierarchical node parser and indexing (tree index or document summary index).
Design and Functional Requirements:
Specific design and functional requirements are in place for the chat application.
The developer should employ the retriever trained with generative pseudo labeling for domain adaptation (haystack) and be adept at deploying on Azure, offering streaming output.
Knowledge base integration is vital, and suggestions for improvement are always welcome.
Timeline:
The project should be completed within 1-2 weeks.
Skills and Experience:
Strong proficiency in Python programming.
Experience with creating chat applications.
Familiarity with langchain/llamaindex RAG architecture and related technologies such as Langsmith and GPT cache.
Knowledge of integrating PDF features into applications and using llamaindex for document parsing and indexing.
If you possess the necessary skills and can adhere to the timeline, please submit your proposal.
Design and Functional Requirements:
Specific design and functional requirements are in place for the chat application.
The developer should employ the retriever trained with generative pseudo labeling for domain adaptation (haystack) and be adept at deploying on Azure, offering streaming output.
Knowledge base integration is vital, and suggestions for improvement are always welcome.
Timeline:
The project should be completed within 1-2 weeks.
Skills and Experience:
Strong proficiency in Python programming.
Experience with creating chat applications.
Familiarity with langchain/llamaindex RAG architecture and related technologies such as Langsmith and GPT cache.
Knowledge of integrating PDF features into applications and using llamaindex for document parsing and indexing.
If you possess the necessary skills and can adhere to the timeline, please submit your proposal.