PSAIT Local RAG v40.0.1
PSAIT Local RAG - a self-hosted long-term memory system for AI.
This is not "another RAG library." It is a ready-to-deploy, fully autonomous system for organizations that need complete control over their data and infrastructure.
What is PSAIT Local RAG v40.0.1?
You create a private knowledge base for artificial intelligence - documents, pages, notes, PDF scans. The system indexes, stores, and provides this information to language models. It answers questions, summarizes content, and performs assigned tasks. All data remains on your servers - unlike cloud solutions. Full control over security and privacy.
How does it work?
Indexer - retrieves documents (PDF, DOCX, HTML, TXT) and splits them into vectors.
Vector database - fast semantic search.
API and Web UI - easy integration with applications and knowledge management.
AI Agent - in conjunction with a local model (e.g., Bielik) creates a closed, intelligent entity that operates without cloud access.
Key features v40.0.1
Production version after security audit - ready for corporate environment.
Fail-closed API - authorization token required by default.
Resource limits - protection against overload.
Solid foundations - no `eval`/`exec`.
Full feature list, demo, and version table available upon contact.
Applications:
For organizations and companies:
Internal knowledge base and corporate search engine - employees ask questions in natural language, AI finds answers in documents with source citations.
Knowledge center for customer service - consultants quickly find answers in manuals and policies.
For AI developers and integrators:
Long-term memory for AI agents - the system as an "external brain."
Contract, regulation, registry analysis - automatic compliance report generation.
Production-ready, self-hosted, secure RAG system for demanding organizations:
For the IT director - a guarantee of security and control over data.
For the AI engineer - a ready-to-use tool without the need to integrate multiple libraries.
For business - predictable, one-time purchase cost vs high, ongoing licensing fees.
Each version is a separate product - it is not a subscription.
We offer versions from v5 to v40 LTS, differing in feature set and hardening level.
The size of the entire system (final version, unpacked) is only 2.4 MB - quick deployment, minimal requirements, easy backup. Ask why this is possible.
License terms:
Perpetual, non-exclusive license for internal use by one organization (dev, staging, prod). The code can be modified for personal needs. Reselling the code as your own product or sharing it with third parties (except for contractors working for the licensee) is prohibited.
Price and support:
Price: 35,000 – 10,000,000 PLN net (depending on the selected version and level of support).
Support: from 30 days to 5 years depending on the purchase option and chosen support period.
PSAIT Local RAG v40.0.1 is a well-thought-out, ready-to-deploy enterprise-class system. After the audit and security fixes, it fully competes with commercial solutions, offering complete control over infrastructure and data.
This is not "another RAG library." It is a ready-to-deploy, fully autonomous system for organizations that need complete control over their data and infrastructure.
What is PSAIT Local RAG v40.0.1?
You create a private knowledge base for artificial intelligence - documents, pages, notes, PDF scans. The system indexes, stores, and provides this information to language models. It answers questions, summarizes content, and performs assigned tasks. All data remains on your servers - unlike cloud solutions. Full control over security and privacy.
How does it work?
Indexer - retrieves documents (PDF, DOCX, HTML, TXT) and splits them into vectors.
Vector database - fast semantic search.
API and Web UI - easy integration with applications and knowledge management.
AI Agent - in conjunction with a local model (e.g., Bielik) creates a closed, intelligent entity that operates without cloud access.
Key features v40.0.1
Production version after security audit - ready for corporate environment.
Fail-closed API - authorization token required by default.
Resource limits - protection against overload.
Solid foundations - no `eval`/`exec`.
Full feature list, demo, and version table available upon contact.
Applications:
For organizations and companies:
Internal knowledge base and corporate search engine - employees ask questions in natural language, AI finds answers in documents with source citations.
Knowledge center for customer service - consultants quickly find answers in manuals and policies.
For AI developers and integrators:
Long-term memory for AI agents - the system as an "external brain."
Contract, regulation, registry analysis - automatic compliance report generation.
Production-ready, self-hosted, secure RAG system for demanding organizations:
For the IT director - a guarantee of security and control over data.
For the AI engineer - a ready-to-use tool without the need to integrate multiple libraries.
For business - predictable, one-time purchase cost vs high, ongoing licensing fees.
Each version is a separate product - it is not a subscription.
We offer versions from v5 to v40 LTS, differing in feature set and hardening level.
The size of the entire system (final version, unpacked) is only 2.4 MB - quick deployment, minimal requirements, easy backup. Ask why this is possible.
License terms:
Perpetual, non-exclusive license for internal use by one organization (dev, staging, prod). The code can be modified for personal needs. Reselling the code as your own product or sharing it with third parties (except for contractors working for the licensee) is prohibited.
Price and support:
Price: 35,000 – 10,000,000 PLN net (depending on the selected version and level of support).
Support: from 30 days to 5 years depending on the purchase option and chosen support period.
PSAIT Local RAG v40.0.1 is a well-thought-out, ready-to-deploy enterprise-class system. After the audit and security fixes, it fully competes with commercial solutions, offering complete control over infrastructure and data.