Vedana is an open-source multi-agent RAG system built around a typed knowledge graph. It is designed for questions that require structure, completeness, and traceability instead of simple text similarity. The system lets agents navigate data step by step through Cypher queries, vector search, document lookup, and source verification. Its architecture combines a knowledge graph, pgvector-based embeddings, incremental ETL, and a backoffice interface for chat, metrics, prompt tuning, and data loading. It also includes JIMS, a framework for persistent conversational agents with typed events and pluggable pipelines. Overall, Vedana is useful for teams that need reliable answers from real data, especially when relationships, counts, rules, and source-backed reasoning matter.

Features

  • Multi-agent RAG over a typed knowledge graph
  • Cypher query generation and vector search tools
  • Traceable answers built from nodes, edges, and document chunks
  • Incremental ETL from Grist into Memgraph and pgvector
  • Backoffice UI for chat, ETL, metrics, and prompt tuning
  • API, Telegram, terminal UI, and embeddable widget interfaces

Project Samples

Project Activity

See All Activity >

Categories

Semantic Search

License

Apache License V2.0

Follow Vedana

Vedana Web Site

Other Useful Business Software
Veeam Data Platform v13.1 Icon
Veeam Data Platform v13.1

Move workloads across hypervisors and clouds with no vendor lock-in. Try VDP free today.

Try Veeam Data Platform today. Experience the unified platform that's secure by design, portable by default, and proven to recover clean, fast, and anywhere.
Try Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Vedana!

Additional Project Details

Programming Language

Python

Related Categories

Python Semantic Search Tool

Registered

2026-06-26