How I implemented instant AI search (millions of records)

Step-by-Step Tutorial: Implementing Instant AI Search Using Algolia

1. Understanding the Data Set:

   • The data set consists of over a million slides with text content.
   • Each slide contains a transcription of a presentation slide.

2. Challenges with Traditional SQL Queries:

   • Running a regular SQL query like SELECT * FROM SL WHERE text LIKE 'self storage in Texas' took 23 seconds for just a search of the first 64 characters.
   • MySQL was not efficient for searching through a large data set with multiple keywords and related topics.

3. Introduction to PitchSend:

   • PitchSend is a database containing millions of slides and presentations.
   • It allows users to download and edit presentations, saving time in creating new presentations.

4. Implementing Search with PitchSend:

   • Type in a search query like "self storage in Texas" to quickly retrieve relevant results.
   • The search is powerful and provides related topics to the keywords entered.

5. Introduction to RAG Search:

   • RAG Search involves creating embeddings for each slide using OpenAI and storing them.
   • MongoDB is used to perform vector searches by comparing the search query to the data set, improving accuracy and response time.

6. Utilizing Algolia for Instant Search:

   • Algolia is an AI-powered search tool that creates indexes for semantic search.
   • Setting up Algolia is quick and easy, taking about 5 minutes to configure and start uploading records.

7. Implementing Algolia in Code:

   • Create a search index in Algolia and use their SDK to call index.search with the query.
   • Implement pagination and UI mapping for displaying search results efficiently.

8. Enhancing User Experience with Algolia:

   • Algolia provides instant results and smooth filtering for an improved user experience.
   • The response times are significantly faster compared to traditional search methods.

9. Handling Complex Queries with Algolia:

   • Algolia understands relationships between words and can handle complex queries efficiently.
   • It provides fast results even for intricate search queries related to finance or banking.

10. Exploring Pitchon for Search:

    • Pitchon is a product offering instant AI search that can be tried for free.
    • Visit pitchon.com to test and experiment with the search capabilities.

11. Further Assistance and Questions:

    • For any questions or assistance with setting up Algolia or implementing instant AI search, reach out to the creator via comments or Discord.

12. Conclusion:

    • Implementing Algolia for instant AI search can greatly enhance search capabilities and user experience when dealing with large data sets and complex queries.