The GitHub repository for "llamaindex" houses an innovative indexing system that leverages the Llama.cpp technology. This cutting-edge repository incorporates advanced indexing methodologies to streamline and optimize data retrieval processes. It serves as a hub for developers seeking efficient and robust indexing solutions, offering a framework that integrates the power of Llama.cpp for seamless and high-performance data management.
Which embedding model is best:
- https://huggingface.co/spaces/mteb/leaderboard
- hkunlp/instructor-large
FAQs:
- How do you update only new and modified documents in the index?
A. refreshed_docs = index.refresh_ref_docs(documents)
- Which embeddings are best for multilingual content?
A. multilingual-e5-large
- Which embeddings are best when you need to provide additional context (legal, medical, or scientific data)?
A. Instructor embeddings
Resources: