Summary
In this chapter, we successfully built a fully functional search-driven chatbot by integrating Gradio, Haystack, and Neo4j. We began by enriching our Neo4j graph with movie embeddings generated by OpenAI’s models, enabling advanced vector-based search functionality. From there, we connected Haystack to Neo4j, allowing us to perform similarity searches on the embeddings stored in the graph. Finally, we wrapped it all up by creating a user-friendly chatbot interface with Gradio, which dynamically retrieves movie details such as titles and actors based on user queries.
In the next chapter we will focus on advanced search capabilities and search optimization with Haystack. We will also discuss query optimization for large graphs.
