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Course Detail

Course Name Vector databases
Course Code 24AIM344
Program B.Tech. Artificial Intelligence (AI) and Data Science (Medical Engineering)
Semester VI
Credits 3
Campus Coimbatore

Summary

CO: The student should be able to query and extract relevant information from vector databases.

Introduction to database-Query Language and database management-Indexed search vs Vector search-Introduction to embedding-Tools to develop vector embedding – qdrant, pinecone, Faiss, chromaDB-Chaining in LLM Design. Design and develop a QA system

CO-PO Mapping

PO PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 PSO1 PSO2 PSO3
CO
A 3 3 3 3 1 2 2 2 2 1 2
B 3 3 3 2 1 2 2 2 2 1 2
C 3 3 3 2 1 2 2 2 2 1 2
D 3 3 3 2 1 2 2 2 2 1 2

References

  1. https://courses.edx.org/asset
  2. v1:Databricks+LLM101x+2T2023+type@asset+block@Module_2_slides.pdf
  3. https://nthu-datalab.github.io/db/slides/20_Vector-DBMS.pdf
  4. Toni Taipalus, Vector database management systems: Fundamental concepts, use-cases, and current challenge

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