RAG to GraphRAG to LAKEer
November 19, 2026
9:00 AM Pacific (PST)
Sajjad Khazipura
Co-Founder & CTO, DaaX
Read the article: From BM25 to RAG to GraphRAG to LAKEerAbout this webinar
How RAG, GraphRAG and LAKEer differ in how they retrieve information, how trustworthy their answers are, and what they cost per query, and why it matters for enterprise AI applications.
What we'll cover
- How information retrieval evolved from BM25 keyword search to RAG, GraphRAG, and LAKEer.
- How RAG retrieves text chunks, where it struggles with multi-hop questions, and what GraphRAG adds through connected facts and entities.
- How LAKEer combines keyword, vector, graph, and table retrieval with Domain Knowledge and Company Language.
- Why retrieval alone is not enough for trustworthy answers, and how claim-level verification checks answers against source evidence.
- How architecture and model choice affect cost per query, and the trade-offs between trustworthiness and cost for enterprise AI applications.
Speaker
Sajjad Khazipura
Co-Founder & CTO, DaaX