> ## Documentation Index
> Fetch the complete documentation index at: https://docs.seekr.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Release notes 2026

export const ReleaseTags = ({type, deployment}) => {
  const base = {
    display: "inline-block",
    padding: "2px 8px",
    borderRadius: "3px",
    fontSize: "11px",
    fontWeight: "600",
    marginRight: "4px"
  };
  const typeStyle = {
    feature: {
      backgroundColor: "#d0f4de",
      color: "#1b4332",
      border: "1px solid #52b788"
    },
    improvement: {
      backgroundColor: "#fef3c7",
      color: "#92400e",
      border: "1px solid #fcd34d"
    },
    "bug-fix": {
      backgroundColor: "#ffe5d9",
      color: "#6d0011",
      border: "1px solid #ff6b6b"
    }
  };
  const typeLabel = {
    feature: "Feature",
    improvement: "Improvement",
    "bug-fix": "Bug Fix"
  };
  const deployStyle = {
    "seekr-managed": {
      backgroundColor: "#c7f9cc",
      color: "#004b23",
      border: "1px solid #00cc88"
    },
    "self-hosted": {
      backgroundColor: "#d3e4fd",
      color: "#023e8a",
      border: "1px solid #4361ee"
    }
  };
  const deployLabel = {
    "seekr-managed": "Seekr-managed instance",
    "self-hosted": "Self-hosted instance"
  };
  const deployments = Array.isArray(deployment) ? deployment : deployment ? [deployment] : [];
  return <div style={{
    marginBottom: "8px"
  }} className="not-prose">
      {type && <span style={{
    ...base,
    ...typeStyle[type]
  }}>{typeLabel[type]}</span>}
      {deployments.map(d => <span key={d} style={{
    ...base,
    ...deployStyle[d]
  }}>
          {deployLabel[d]}
        </span>)}
    </div>;
};

export const SupportedOn = ({ui = false, api = true, sdk = true}) => <div className="inline-flex flex-wrap items-center gap-x-5 gap-y-2 px-4 py-2.5 rounded-lg border border-[#00dad3] bg-[#00dad3]/10 text-sm not-prose">
    <span className="font-bold text-black dark:text-white whitespace-nowrap">
      Supported on
    </span>
    <div className="flex items-center gap-5">
      <span className="inline-flex items-center gap-1.5 font-semibold text-black dark:text-white">
        <Icon icon={ui ? "circle-check" : "circle-xmark"} color={ui ? "#00dad3" : "#9ca3af"} size={16} />
        UI
      </span>
      <span className="inline-flex items-center gap-1.5 font-semibold text-black dark:text-white">
        <Icon icon={api ? "circle-check" : "circle-xmark"} color={api ? "#00dad3" : "#9ca3af"} size={16} />
        API
      </span>
      <span className="inline-flex items-center gap-1.5 font-semibold text-black dark:text-white">
        <Icon icon={sdk ? "circle-check" : "circle-xmark"} color={sdk ? "#00dad3" : "#9ca3af"} size={16} />
        SDK
      </span>
    </div>
  </div>;

<Update label="April 22, 2026" description="Version 5.2.5" tags={["Feature"]}>
  ## AWS Bedrock support extended to ingestion pipelines

  <ReleaseTags type="feature" />

  <SupportedOn ui={true} api={true} sdk={true} />

  SeekrFlow ingestion pipelines now support AWS Bedrock for embedding generation and PDF-to-Markdown conversion.

  * Embedding generation for vector databases and RAG workflows can now run on AWS Bedrock.
  * PDF-to-Markdown conversion uses Bedrock-compatible vision models, supporting AI-ready data jobs for synthetic dataset generation and downstream fine-tuning.
  * Using a `bedrock:`-prefixed model automatically routes embedding requests to AWS Bedrock.
  * Vector databases created with Bedrock models use Titan embeddings for indexing and retrieval.
</Update>

<Update label="March 12, 2026" description="Version 5.2.5" tags={["Improvement"]}>
  ## Self-hosted platform update

  <ReleaseTags type="improvement" />

  <SupportedOn ui={true} api={true} sdk={true} />

  This update expands platform availability and adds new capabilities across agents, orchestration, and deployment environments.

  **New platform support**

  SeekrFlow now supports Oracle Cloud Infrastructure (OCI). Organizations can deploy SeekrFlow on OCI environments running NVIDIA GPUs, expanding deployment options for customers with Oracle cloud infrastructure requirements. OCI support currently includes:

  * SeekrFlow UI
  * SeekrFlow API

  **Agents**

  * Tool Library support for agents
  * Multi-Agentic Orchestration (Beta) — agents can coordinate across multiple tools and tasks

  **Platform**

  * OCI deployment support via Helm
  * vLLM upgrade improving inference performance on NVIDIA GPUs
</Update>

<Update label="February 2026" description="Version 5.0.X" tags={["Improvement", "Feature"]}>
  ## Self-hosted platform update

  <ReleaseTags type="improvement" />

  Updates for self-hosted SeekrFlow deployments on AWS, AWS GovCloud, and Appliance environments.

  **Agents and inference:**

  * AWS Bedrock inference support for agents with cloud service provider-hosted inference
  * Full agent execution including tools, streaming, and promotion/demotion workflows
  * Multi-LoRA inference with hot loading
  * `vLLM` upgrade for improved performance and stability
  * CSP inference routing to Bedrock endpoints based on region and model availability

  **Fine-tuning:**

  * LoRA support for reinforcement (GRPO) and instruction fine-tuning (NVIDIA-based)

  **Explainability:**

  * Inference-time data attribution

  **UI and documentation:**

  * Dark mode support
  * Documentation updates covering new inference, agent, and fine-tuning capabilities

  ## AWS Bedrock inference for agents

  <ReleaseTags type="feature" />

  <SupportedOn ui={true} api={true} sdk={true} />

  AWS Bedrock inference support for SeekrFlow Agents, providing an alternative to Seekr-hosted GPU inference. Agents can now use `Claude 4.5` via AWS Bedrock for all intra-agent inference (planner, executor, evaluator, summarizer).

  **Capabilities:**

  * Full end-to-end agent execution including Agent Chat in the UI, streaming and non-streaming runs, and multi-tool execution
  * Bedrock models appear in existing agent model-selection UI
  * Configure at deploy time via Helm (EKS-only)
  * Deployments select either Bedrock inference or Seekr-hosted GPU inference

  **Current limitations:**

  * Agents only (Model Chat is disabled when Bedrock is enabled)
  * File search and vector-backed retrieval not yet supported for Bedrock agents
  * Reasoning and speed optimization parameters are ignored to ensure consistent execution
</Update>