CommSync Runs Text, Vector, and Hybrid Search on Postgres with Lakebase Search

CommSync has enhanced its search capabilities by integrating Neon's Lakebase Search extensions, lakebase_text and lakebase_vector, into its Postgres database, resulting in a significant improvement in query latency and eliminating the need for a separate search stack. This integration supports three distinct search functionalities within CommSync's product: a high-traffic text search for its main inbox utilizing BM25 relevance scoring; a vector-based semantic search for its AI assistant, which processes queries based on meaning using 1024-dimension embeddings; and a hybrid search in its command palette that combines lexical and semantic matching through Reciprocal Rank Fusion. Additionally, CommSync has implemented CommSync Agents that use the lakebase_vector for retrieving information from a knowledge base to autonomously respond to customer inquiries, all managed within a single Postgres database. The use of Lakebase Search allows for both exact term precision and conceptual recall without the need for additional search infrastructure, thereby streamlining operations and improving efficiency.

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