LLM + Knowledge Base using Vector Db
Budget: ₹600 – ₹1,500 INR
We are building a Bot Platform which has an option for users to bring their Knowledge Base (either doc or url)
We then parse through the url/doc and convert it into Q/A format
Now, I want someone who can save these Q/A into a Vector Database/Knowledebase and create a function calling for Knowledge Base Query when the basic prompt is insufficient in answering user's query.
In other words, my Bot already has a Prompt with some info, in case user's response is out of scope, or includes objections or particular questions that are not in the main Prompt, the LLM must be able to call the Knowledge Base Function, Query top matching results - add the original query + top matches + prompt + conversation history to let LLM build the best response.
We are already providing conversation history, User Query, Prompt to the LLM (we are not using LangChain, and prefer not to use it for Knowledge Base as well)
Your task: Create/Setup Vector Db + Query finding algo; and setting up Knowledge Base Function Calling
Our App is built in Django. We are using LLM: Claude 3 Haiku
The task is very simple for someone who has already done it. You are not required to do any Frontend work or anything else, just setup Db+query and function calling - rest all will be done by my developer.
Quote exactly what you will be charging for this, else I will report.
We then parse through the url/doc and convert it into Q/A format
Now, I want someone who can save these Q/A into a Vector Database/Knowledebase and create a function calling for Knowledge Base Query when the basic prompt is insufficient in answering user's query.
In other words, my Bot already has a Prompt with some info, in case user's response is out of scope, or includes objections or particular questions that are not in the main Prompt, the LLM must be able to call the Knowledge Base Function, Query top matching results - add the original query + top matches + prompt + conversation history to let LLM build the best response.
We are already providing conversation history, User Query, Prompt to the LLM (we are not using LangChain, and prefer not to use it for Knowledge Base as well)
Your task: Create/Setup Vector Db + Query finding algo; and setting up Knowledge Base Function Calling
Our App is built in Django. We are using LLM: Claude 3 Haiku
The task is very simple for someone who has already done it. You are not required to do any Frontend work or anything else, just setup Db+query and function calling - rest all will be done by my developer.
Quote exactly what you will be charging for this, else I will report.