Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on Microsoft Marketplace.
Verba 2.1.3 is an open-source Retrieval-Augmented Generation (RAG) application designed to help users interact with their own documents and knowledge through an AI-powered web-based interface. It combines document processing, semantic search, vector retrieval, and large language models to provide contextual answers from private or specialized knowledge sources.
The solution supports common AI knowledge-management workflows including document ingestion, knowledge-base creation, semantic retrieval, natural-language question answering, and conversational interaction with stored information. It is suitable for internal knowledge assistants, document search, research, enterprise knowledge bases, and RAG-based AI applications.
Show the rest of the publisher’s description (17 more lines)
Features of Verba:
- Open-source web-based Retrieval-Augmented Generation (RAG) application.
- Conversational interface for querying private and specialized knowledge.
- Document ingestion and knowledge-base management.
- Semantic search and vector-based information retrieval.
- Integration with Weaviate for vector database and retrieval capabilities.
- Supports large language model-powered contextual responses.
- Designed for document search, research, knowledge assistants, and enterprise RAG workflows.
- Can be deployed locally for greater control over application and knowledge-base data.
Usage instructions for Verba:
Activate Virtual Environment:
$ sudo su
$ cd /opt/Verba
$ source /opt/verba/venv/bin/activate
#Start Verba: $ verba start --host 0.0.0.0 --port 8000
# Open your browser and navigate to Verba: $ http://your-server-ip:8000/
Disclaimer: Verba is provided “as is” under applicable open-source licenses. Users are responsible for proper configuration, authentication, access control, protection of knowledge-base data, model configuration, database security, backups, HTTPS configuration, and validation of production deployments. This solution is suitable for AI-powered knowledge assistants, RAG applications, document search, research, and private knowledge-management environments.
Agent build and provenance
See the full provenance
The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Reconciled on 9/3/2026
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.