, including RAG pipelines, vector stores, evaluation loops, and basic frontend integration (feedback UIs, annotation loops...
, Semantic Kernel). Knowledge of RAG pipelines and vector DBs (e.g., 23ai, FAISS, Pinecone, Weaviate). Familiarity with OCI Gen...
with the modern AI/LLM ecosystem Hands-on knowledge of prompt engineering, vector databases, orchestration tools, and model...
pipelines Experience with vector embeddings and embedding models Vector database implementation for semantic search Graph...
for production. · Implement RAG pipelines using vector databases. · Work with frameworks like LangChain, LangGraph, MCP... with vector databases, embeddings, and RAG pipelines. · Ability to work with structured and unstructured data at scale...
pipelines Experience with vector embeddings and embedding models Vector database implementation for semantic search Graph...
with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases...
with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases...
frameworks, Embedding models, LLM APIs, Vector database Familiarity with compliance and security requirements in legal/financial...
Search, Atlas Vector Search, and Charts Relational Migrator: Learn to migrate from relational databases seamlessly Market...