RAG is the process of optimizing the output of a large language model so it references an authoritative knowledge base outside of its training data sources before generating a response. We will implement the RAG using the Langchain framework, OpenAI LLM. We will use Pinecone, Wikipedia , and DuckDuckGo for internet search as external sources. https://colab.research.google.com/drive/1K3NDa5wUdAiJuo8hwpeAu-Qp3Kg30KNS?usp=sharing
-
Notifications
You must be signed in to change notification settings - Fork 0
RAG is the process of optimizing the output of a large language model so it references an authoritative knowledge base outside of its training data sources before generating a response. We will implement the RAG using the Langchain framework, OpenAI LLM. We will use Pinecone, Wikipedia , and DuckDuckGo for internet search as external sources.
gtcabral/GenAI
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
RAG is the process of optimizing the output of a large language model so it references an authoritative knowledge base outside of its training data sources before generating a response. We will implement the RAG using the Langchain framework, OpenAI LLM. We will use Pinecone, Wikipedia , and DuckDuckGo for internet search as external sources.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published