The third step of the knowledge base storage solution is crucial. Using Postgres combined with pgvector, this combo is truly powerful. The key is how to index—by topic, entity, timestamp, and also include confidence labels, so that retrieval is precise. Don't rely solely on a single search; text search and semantic search must be used together for maximum effectiveness. This may seem subtle, but it has a huge impact on the performance of the Agent. The better the retrieval results, the smarter the Agent's decision-making process, and the final output quality will be completely different.
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The third step of the knowledge base storage solution is crucial. Using Postgres combined with pgvector, this combo is truly powerful. The key is how to index—by topic, entity, timestamp, and also include confidence labels, so that retrieval is precise. Don't rely solely on a single search; text search and semantic search must be used together for maximum effectiveness. This may seem subtle, but it has a huge impact on the performance of the Agent. The better the retrieval results, the smarter the Agent's decision-making process, and the final output quality will be completely different.