Uses Qdrant as the Vector DB and OpenAI calls for generating embeddings.
- Utilize a local model for embeddings.
- Find a good interface for it (TUI chat? as a CLI command?)
-
Notifications
You must be signed in to change notification settings - Fork 0
guychouk/kibi
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
🔍 An example of a RAG engine in TypeScript using Qdrant