Generate knowledge with Semantic Graphs and RAG

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language model workflows.

Embeddings databases are a union of vector indexes (sparse and dense), graph networks and relational databases. This enables vector search with SQL, topic modeling, retrieval augmented generation and more.

Semantic graphs were introduced in late 2022 with txtai 5.0, right before the start of the LLM era. This article picks back up where that work left off, opening a new frontier in semantic graph integration. …

database databases embeddings generate graph graphs knowledge language language model llm machinelearning modeling networks nlp orchestration python rag relational relational databases retrieval retrieval augmented generation search semantic sql topic modeling union vector vector search workflows