Fine-tuning your Haystack integration
It is now time to explore how to fine-tune this integration for improved performance and user experience. While the current setup provides rich, contextually aware responses, there are several advanced techniques, you can implement to optimize the search process, improve retrieval accuracy, and make the chatbot’s interactions more seamless.
In this section, we will focus on adjusting key components of Haystack, including experimenting with different embedding models, optimizing Neo4j queries for faster results, and improving how the chatbot displays its responses. These enhancements will help you scale your chatbot to handle more complex queries, improve response times, and deliver even more relevant search results.
Experimenting with different embedding models
Currently, we are using OpenAI’s text-embedding-ada-002 model to generate embeddings. While this model has served as a reliable and performant choice across a...
