How decisions work in OmniChain
OmniChain integrates LanceDB to allow native RAG applications without having to call any external systems.
The components you use are quite simple:
- Embeddings nodes (available in Ollama and OpenAI formats) to generate embeddings.
- LanceDB nodes to create tables, add data, and query the database.
Example chain - RAG with LanceDB
Import the RAG example from: examples/chains/rag_lancedb.json.
This example demonstrates the usage of LanceDB to create a simple RAG-powered chatbot that can consume an arbitrary number of documents and keep answering questions.