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Owlbuddy

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Owlbuddy

Fueling Digital Journey

Home
Tutorials
- Programming
  - C Programming
  - Java
  - Kotlin
  - PHP
  - Phython
- Mobile Technologies
- Web Designing
  - HTML
  - CSS
  - JavaScript
Knowledge Tree
Quiz
- Flutter Basics Quiz
- Kotlin Basic Quiz
Services
- Website Development
- Mobile App Development
Tools
- ToolBunny
Contact us

Request a Quote

RAG & Vector Search

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AI
RAG & Vector Search

Scaling a Vector Search Pipeline: Sharding and Latency Optimization

Parvesh Sandila / October 25, 2025

Scaling a Vector Search Pipeline: Sharding and Latency Optimization Read More »

Freshness Strategies for Vector Indexes

Parvesh Sandila / October 25, 2025

Freshness Strategies for Vector Indexes Read More »

Hybrid Retrieval: Combining BM25 & Embeddings

Parvesh Sandila / October 25, 2025

Hybrid Retrieval: Combining BM25 & Embeddings Read More »

Document Ingestion Patterns: PDFs, HTML, Audio, Logs

Parvesh Sandila / October 25, 2025

Document Ingestion Patterns: PDFs, HTML, Audio, Logs Read More »

Vector Databases Compare: Pinecone, Qdrant, Weaviate, Redis (Benchmark)

Parvesh Sandila / October 23, 2025

Vector Databases Compare: Pinecone, Qdrant, Weaviate, Redis (Benchmark) Read More »

RAG vs Traditional Search: When to Use Which

Parvesh Sandila / October 16, 2025

RAG vs Traditional Search: When to Use Which Read More »

About Us

Welcome to OwlBuddy. Your gateway to mastering programming! We offer a wide range of free courses in Java, PHP, Python, Kotlin, Android Development, and JavaScript, designed for both beginners and seasoned developers.

But that’s not all, we’re more than tutorials! We now provide AI chatbot development, web and mobile app solutions, UI/UX design, and contribute to open-source projects. Plus, we build innovative tools to make your coding journey smoother. At OwlBuddy, learning, creating, and innovating go hand in hand!

New Additions

MLOps for LLMs: CI/CD, Versioning, and Reproducibility
Scaling a Vector Search Pipeline: Sharding and Latency Optimization
Freshness Strategies for Vector Indexes
Hybrid Retrieval: Combining BM25 & Embeddings
Document Ingestion Patterns: PDFs, HTML, Audio, Logs

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