Building a Quranic Vector Store: RAG for Scripture

As a developer, I’ve always been fascinated by the challenges of searching for concepts in the Quran. Standard SQL search just doesn’t cut it, especially when it comes to understanding the semantic intent behind a user’s query.

That’s why I decided to build a Quranic Vector Store using OpenAI Embeddings and a Vector Database. This allows the Digital Hafiz bot to understand the context and sentiment behind the user’s query, mapping their emotion to the relevant divine guidance.

Here’s a high-level overview of the architecture:

• Indexed the Quran using OpenAI Embeddings
• Stored the embeddings in a Vector Database
• Used a neural network to map the user’s query to the relevant embeddings
• Retrieved the most relevant Ayats from the Vector Database

By using this approach, the Digital Hafiz bot can provide a more personalized and meaningful experience for users, helping them to deepen their understanding of Islam and live a more meaningful life.

Try the Digital Hafiz today and experience the power of Vector Search for yourself!

#ShahiRaj #DigitalHafiz #QuranSearch #VectorSearch