RAG Systems

Building production RAG applications with vector databases and embeddings

Building context-aware AI servers for enhanced LLM interactions

Automating patent prosecution with advanced AI systems

Pinecone, ChromaDB, Weaviate, FAISS for semantic search

OpenAI, Cohere, Sentence Transformers for semantic understanding

Optimal document chunking for retrieval performance

Building AI agents with reasoning and tool-use capabilities