后chatgpt时代的对话式文档问答解决方案

Using the Llama index and OpenAI to build a personalized dataset, the best data format is question-and-answer mode, which can provide the best experience. You can try to build question-and-answer chatbots for customer service, sales, and product descriptions.

data input from google spreadsheet to llama_index

serves for redirect of indexing request. These are problematic when used llama.cpp tries to access /api/embed which is not supported endpoint

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Notes on learning llama-index.

Trying out RAG using Llama-index

Trying out Llama Index to enable Q&A on custom datasets.

trying llama index to run in local machine with local ollama llm

An try on using llama-index or OpenAI assistents to call Shopmonkey API and try to make a system out of it

In this project, i have tried to create a code generation software using multi-LLMs, llama-index and llama-parse. I have used codellama, mistral combination.

A repo where I try out RQA examples presented in different libraries (LangChain, Llama_index) using scripts or a Graphical User Interface