Query Encoder

Query encoders are crucial components in information retrieval systems, aiming to generate effective vector representations of user queries for efficient and accurate retrieval of relevant information. Current research focuses on improving encoder robustness to noisy or ambiguous queries, enhancing efficiency through techniques like model compression and asymmetric architectures (e.g., using smaller query encoders), and integrating large language models to expand query representations without impacting inference speed. These advancements are significantly impacting various applications, including real-time search, conversational search, and knowledge graph querying, by improving retrieval accuracy and reducing latency.