AI Toolkit
Our proprietary AI toolkit to supercharge your road to production
Pick what you need
Simple to integrate
Flexible deployment model
Designed for organizations
The Problem
Existing options fail to meet the realities of enterprise AI implementation
Existing options
All-in-one solutions
Expensive to buy, take long to onboard, and don't quite match your company requirements or processes
Independent SaaS products
Long vetting processes, unpredictable subscription costs, multiple points of contact, many moving pieces
Open source
Fragile, inconsistent, full of vulnerabilities and questionable licenses of nested dependencies
v9Labs Toolkit
Modular
Buy, onboard and integrate only what you need. Own the core of your product, outsource the supporting functions. All on a single contract.
Simple
UI and interfaces built with ease-of-use in mind, easy to integrate, quick to onboard, no hidden complexity
Flexible deployment
Use as-a-service or license to run on your own cloud infrastructure and services. You are in control.
Our Solution
With the v9Labs Toolkit, you can focus on building the systems that drive core value for your business
Retrieval
All of your documents from all of your sources just one API or agentic tool call away.
Core features:
- Multiple Sources
- Single query endpoint
- Custom Processing Pipelines
- Management UI
- Query Evaluation
- Tracing & Monitoring
Reinforcement
Reinforce desired behaviors for AI agents in ambiguous situations, so your agents keep improving and don't repeat the same mistakes.
Core features:
- Feedback submission API
- Feedback query API
- Management UI
- Monitoring & Tracing
More
Coming soon, we're happy to talk to you about future additions to our toolkit.
Retrieval
Focus on what you want to show in the context
v9Labs Retrieval figures out the how
v9Labs Retrieval. AI agents are only as effective as the context they can access. Yet most knowledge is scattered across tools and teams. Retrieval unifies this data into a single, queryable layer, ensuring your agents always work with the relevant context.
Full control. Connect a range of internal sources, customize your retrieval pipeline, and keep complete control over how data is processed and served.
Own your data. Deploy Retrieval in your own cloud environment to maintain full data ownership and meet compliance requirements without additional overhead.
Core Retrieval Features
Customize pipelines
Speed, cost, and quality are the core trade-offs in any retrieval system. With custom pipelines you can configure every step from chunking to embedding to filtering to augmentation to suit the needs of your use case.
Annotate documents
Ambiguous definitions, vague statements, and context dependent information can degrade the retrieval quality. With custom annotations you can improve the quality of your query results and ensure that you only get the most relevant documents.
Monitor queries
When issues come up, you need to be able to investigate. With optional tracing, you can monitor performance and trace query issues to the source. With custom correlation IDs, it seamlessly integrates with your existing tracing infrastructure.
Build knowledge graphs
Documents rarely exist in isolation. They extend, supersede, or contradict each other. Establish relations between your documents and build a knowledge graph that your agents can use to make better decisions.
Evaluate retrievals
Bad context is the most common cause for agent errors. With retrieval evaluations, you can test queries in isolation to ensure that the correct documents are retrieved, and verify that your filters and annotations are effective.
Custom filters
As the size of datasets increase, the accuracy of purely semantic querying degrades. With custom filters, you can pre-segment your documents into smaller subsets and also manage access control based on API keys or query parameters.
Reinforcement
Ensure your agents never repeat the same mistake twice
v9Labs Reinforcement. AI systems improve only when they can learn from their actions. Reinforcement provides the feedback infrastructure that connects agents, users, and domain experts, kick-starting the self-improvement flywheel.
Feedback in context. Collect structured feedback from humans or systems, review and annotate it through a dedicated UI, and make it accessible to your agents for in-context learning and decision improvement.
Close the loop. With Reinforcement, every interaction becomes a training signal — enabling continuous improvement without retraining pipelines or complex data workflows.
More Coming Soon
AI infrastructure for your business
Executing a successful AI project is hard. With limited budgets, technical uncertainty, and high expectations, it is critical for teams to deploy their resources where they create the most value.
We are committed to deliver tools that meet the highest standards of excellence, require minimal onboarding, and are simple to integrate with. By using the v9Labs Toolkit, you can forget about building out generic AI infrastructure, and focus your efforts on the complex challenges unique to your business.
If you're ready to supercharge your AI projects, let's talk.
