JAVA base DIY RAG (Retrieval-Augmented Generation)
built on Qdrant
and for text embeddings use model:
all-MiniLM-L6-v2 over langchain4j
like: https://medium.com/@seeusimong/retrieval-augmented-generation-with-pgvector-and-ollama-e342967a0ff7 https://tembo.io/blog/sentence-transformers
- mv .env.example .env
- docker-compose up
- ./createCollection.sh