Skip to content

Home

AkasicDB

“A Unified Graph-Vector-Relational DBMS for Enterprise AI”

Welcome to the official AkasicDB documentation. AkasicDB brings high-performance graph querying and vector search directly into PostgreSQL.

Key Benefits

  • PostgreSQL Integration Load the akasicdb extension to run graph and vector workloads through SQL.

  • Graph Generation from SQL Define graph structures and create graphs from relational data using SQL.

  • Graph-Vector-Relational Integrated Query Perform graph queries, relational queries, and vector search together in a single integrated query.

  • Multiple Vector Indexing Algorithms Choose from HNSW, Vamana, IVF, and Flat according to your requirements for speed, memory usage, and accuracy.

  • Administration Tune graph and vector execution with GUC parameters, and inspect graph and vector index state.

  • Client Packages Build applications with the AkasicDB Python library and LangChain integration.

  • Client Examples Use SQL, Python, and LangChain examples for client-side integration.