RAG — Retrieval Augmentated Generation
Project LLM RAG Retrieval Augmented Generation
By performing RAG-related tasks, we can create a robust system for knowledge extraction and generation that's efficient, accurate, and adaptable to various needs.
it@m1 ~ % ollama run xxxxxxxxxxxx-xxxxxx-xxxxxx:123b
pulling manifest
pulling 5c56bb0256a2... 100% ▕███████████████████████████████████████████████▏ 1.6 GB
pulling f76a906816c4... 100% ▕███████████████████████████████████████████████▏ 1.4 KB
pulling f7b956e70ca3... 100% ▕███████████████████████████████████████████████▏ 69 B
pulling 492069a62c25... 100% ▕███████████████████████████████████████████████▏ 11 KB
pulling cc40ff1e8045... 100% ▕███████████████████████████████████████████████▏ 491 B
verifying sha256 digest
writing manifest
success
How can you help me doing the RAG related tasks?
Rest of the content is marked Members Only