Basic Retriever
Alternative Names
- Naive Retriever
- Baseline RAG
- Typical RAG
Required Graph Shape
Description
The user question is embedded using the same embedder that has been used before to create the chunk embeddings. A vector similarity search is executed on the chunk embeddings to retrieve k (number previously configured by developer / user) most similar chunks.
Usage
This pattern is useful if the user asks for specific information about a topic that exists in one or more (but not too many) chunks. The question should not require complex aggregations or knowledge about the whole dataset. Since the pattern only contains a vector similarity search it is easy to understand, implement and get started with.
Further reading
- Advanced Retriever Techniques to Improve Your RAGs (Damian Gil, April 2024)
- Implementing advanced RAG strategies with Neo4j (November 2023)
