Embeddings

• As of now we have documents and we have split the documents to create chunks

• Next steps are using embeddings and storing into vector databases.

• Refer Here for langchain embedding

• Every Embedding will have an interface with two methods
  • embed_query
  • embed_documents
• OpenAI Embeddings
• Google Vertex AI Embeddings
• Other providers
• Local embeddings:
  • hugging face
  • llama

Setup GCLOUD CLI FOR VERTEX AI

• Execute the following command

gcloud auth application-default login

Vector Stores

• Langchain vector stores
• Vector Store Interface
• List of vector stores