Search & Retrieval Systems
Build intelligent search systems with vector embeddings, semantic search, and AI-powered retrieval
Vector Search & Embedding Solutions
Semantic Search Engine
Understanding Context & IntentAI-powered search that understands meaning, not just keywords, using state-of-the-art embeddings.
- Multi-lingual embedding models
- Context-aware ranking
- Query expansion & synonyms
- Intent classification
Hybrid Search System
Best of Both WorldsCombine vector similarity with traditional search for optimal results across all query types.
- BM25 + Vector fusion
- Reciprocal rank fusion
- Dynamic weight optimization
- Faceted filtering
RAG Systems
Retrieval Augmented GenerationBuild intelligent Q&A systems that retrieve relevant context for accurate LLM responses.
- Document chunking strategies
- Context window optimization
- Multi-hop reasoning
- Source attribution
Multimodal Search
Text, Image & BeyondSearch across different data modalities using CLIP and multimodal embeddings.
- Text-to-image search
- Image similarity search
- Cross-modal retrieval
- Video frame search
Vector Database Infrastructure
MongoDB Atlas
Document database with native vector search capabilities for AI applications.
- Vector Search indexes
- Atlas Search integration
- Flexible data model
Pinecone
Fully managed vector database with seamless scaling and high performance.
- Serverless architecture
- Real-time indexing
- Metadata filtering
Weaviate
Open-source vector database with built-in ML models and hybrid search.
- GraphQL API
- Module ecosystem
- Multi-tenancy
Also Supporting
ChromaDB
Milvus
FAISS
Elasticsearch
Embedding Models & Technologies
Text Embeddings
Multimodal Embeddings
Implementation Process
Data Analysis
Content profiling & requirements
Model Selection
Choose optimal embeddings
Infrastructure
Deploy vector database
Optimization
Fine-tune & scale
Real-World Applications
E-commerce Search
Product discovery with visual and semantic search
Knowledge Base Q&A
Intelligent document retrieval and answering
Content Recommendation
Personalized content discovery systems
Fraud Detection
Similarity-based anomaly detection
Code Search
Semantic code similarity and retrieval
Customer Support
Smart ticket routing and solution matching
Build Intelligent Search Systems
Transform how users discover and retrieve information
Whether you need semantic search, RAG implementation, or multimodal retrieval, I'll help you build search systems that understand context and deliver relevant results.