Refine LLM Efficiency in RAG Applications
Budget: $25 – $50 USD
We're looking for someone who has experience with LLM's in RAG applications.
We're using LlamaIndex and have our application able to query the data we provided the index.
The problem is that not all the data we are providing is not all being included in the context window.
Our data indexes are about 2 million tokens a piece, and there are 15-20 documents this size, and we just need someone who can go through our config with us to make sure we have it all set up correctly and that can help us with getting as accurate of answers as possible.
Python and Django experience is a must.
Thank for posting Resume and Portfolio.
We're using LlamaIndex and have our application able to query the data we provided the index.
The problem is that not all the data we are providing is not all being included in the context window.
Our data indexes are about 2 million tokens a piece, and there are 15-20 documents this size, and we just need someone who can go through our config with us to make sure we have it all set up correctly and that can help us with getting as accurate of answers as possible.
Python and Django experience is a must.
Thank for posting Resume and Portfolio.