RAG

Neum AI: Data Platform for RAG and Vector Embeddings

Posted by Fede Nolasco | Mar 18, 2024 | TLRD

Leverage Neum AI data platform for RAG by extracting, processing, and ingesting vector embeddings for similarity search from various data sources like document storage and NoSQL.

RAG Application Deployment with Embedchain Integration

Posted by Fede Nolasco | Mar 18, 2024 | RAG, TLRD

Streamline RAG application deployment with Embedchain, offering support for both conventional and configurable approaches.

All-in-One Embeddings Database – TxtAI

Posted by Fede Nolasco | Mar 18, 2024 | RAG, TLRD

Learn how to utilize TxtAI for semantic search, language model orchestration, and workflows, including creating, indexing, saving, querying embeddings, and performing various search types like hybrid, graph, and rag-based searches. Master language model pipelines and workflows with TxtAI through YAML files.