Advanced RAG with graph path traversal

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 (RAG) and more.

A standard RAG process typically runs a single vector search query and returns the closest matches. Those matches are then passed into a LLM prompt and used to limit the context and help ensure more …

advanced database databases embeddings graph language language model llm machinelearning modeling networks nlp orchestration path process python rag relational relational databases retrieval retrieval augmented generation search semantic sql standard topic modeling union vector vector search workflows