aljaz/scale-gke-qdrant-llama
1
1
Fork 0
mirror of https://github.com/benitomartin/scale-gke-qdrant-llama.git synced 2025-12-17 02:54:25 +01:00
Code Issues Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Benito Martin
2024-06-30 14:41:57 +02:00
committed by GitHub
parent 4819dbd55b
commit ebe271e076
1 changed files with 7 additions and 7 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
README.md
View File

@@ -10,13 +10,13 @@ For detailed project descriptions, refer to this [Medium article](XXX).
Main Steps
- **Data Ingestion**: Load data from GitHub repositories.
- **Indexing**: Use SentenceSplitter for indexing in nodes.
- **Embedding and Model**: OpenAI.
- **Vector Store**: Use Qdrant for inserting metadata.
- **Query Retrieval**: Implement RetrieverQueryEngine.
- **FastAPI and GKE**: Handle requests via the FastAPI app deployed on GKE.
- **Streamlit**: UI component.
- **Data Ingestion**: Load data from GitHub repositories
- **Indexing**: Use SentenceSplitter for indexing in nodes
- **Embedding and Model**: OpenAI
- **Vector Store**: Use Qdrant for inserting metadata
- **Query Retrieval**: Implement RetrieverQueryEngine
- **FastAPI and GKE**: Handle requests via the FastAPI app deployed on GKE
- **Streamlit**: UI
Feel free to ⭐ and clone this repo 😉