Optimizing RAG with Self-Querying Retriever and DashVector
The current popular RAG retrieval approach involves using large models' embedding algorithms to embed data into a vector database, then converting user queries into vectors to retrieve similar data from the vector database. This retrieved data is then formatted into a context template and fed into an LLM for querying.
Directly converting user q ...
Posted on Tue, 03 Nov 2026 16:35:06 +0000 by corporateboy