LlamaIndex gives a model the right context, and LlamaParse can host document agents built with LlamaIndex Workflows. With a framework you assemble the parts and own the result — availability, durable state, governance, and the pager are yours. With a platform the system comes assembled and operated, under a contractual SLA.
LlamaIndex hands you a data framework for retrieval-augmented generation — connectors, parsing, indexing, and query interfaces — plus agentic constructs like Workflows and function-calling agents. The connectors, parsers, indexes, and query interfaces are libraries you import, deploy, and operate. LlamaParse, formerly LlamaCloud, provides managed parsing, extraction, and indexing.
A durable runtime, high availability, disaster recovery, and governance are not part of LlamaIndex. Your team builds, integrates, and operates them. LlamaIndex states 99.9% uptime for the LlamaParse service. No published SLA covers the agents you run, so their availability is yours to guarantee.
Akka gives you the agents, durable state, streaming, APIs, and governance as one pre-integrated runtime. You describe the system you want, and the platform generates it, tests it, and runs it. Because everything runs in one runtime, a system that compiles is ready for production.
Akka keeps it running around the clock, with active-active replication and automatic failover, and stands behind a contractual 99.9999% availability SLA on the running system.
Akka Specify builds agentic systems from your specifications and releases only what meets your definition of done.
| Dimension | With LlamaIndex | With Akka |
|---|---|---|
| Availability | LlamaIndex states 99.9% uptime for the LlamaParse service, with contractual terms negotiated per Enterprise agreement and no published RTO or RPO. No published SLA covers your agents, so their uptime and recovery are your team's to own. | Akka owns 99.9999% on the running system — a ~31-second yearly budget — active-active, sub-1-minute RTO, zero-byte RPO. |
| State & memory | Workflows do not auto-checkpoint, so durable state requires an external integration such as DBOS journaling to a database — replay-based, at-least-once, and idempotency is yours to design. | Held in memory, event-sourced and active-active replicated — 4 ms reads, sub-10 ms writes, exactly-once recovery. Durability is a runtime property, not a database round-trip. |
| Governance | Observability and evaluation integrations measure and score retrieval and agent quality. Inline enforcement, immutable evidence, and pre-deployment classification are not provided. | Akka Verify applies any control to any AI system and guarantees its enforcement, including HITL, HOTL, guardrails, and evaluations, and records every call in tamper-evident storage. |
| Spec-driven delivery | LlamaAgents Builder, in beta, turns a plain-language description of a document-extraction workflow into Python Workflow code and deploys it. You check the result in its extraction and review interface. | Akka Specify builds agentic systems from your specifications and releases only what meets your definition of done. |
| Model optimization | LlamaParse Auto Mode routes each page to a parsing tier. OpenDocRouter serves frontier and open-source document models behind one API, with the model chosen per request. The open-source framework includes guides for fine-tuning embeddings and distilling GPT-4 into gpt-3.5-turbo. | Akka Optimize puts each request on the best model for the task, including smaller models trained on your data. |
| Runtime track record | A venture-funded data framework whose agentic constructs and managed hosting are recent additions; durable execution depends on an external integration. | since 2009, 100,000+ deployments — the runtime behind systems two billion people use daily. |
| Infrastructure cost | LlamaParse meters parsing and indexing by consumption credits, and the runtime to run agents — compute, memory, streaming, APIs, governance, HA/DR — is provisioned and paid for separately, on top. | One shared-compute runtime carries the same agentic volume on up to 90% less infrastructure, at a fixed annual fee. Akka Optimize keeps improving the models on your own production traffic, so cost per task keeps falling as the system runs. |
| Portability | A production deployment accretes dependencies on hosted parsing and indexing services metered per credit. | Any cloud, on-prem, or sovereign — portable specs, BSL licensing, no per-trace meter. |
The difference is who writes the policy and when the policy takes effect. With LlamaIndex, developers add observability and evaluation tools that measure quality after the fact.
Score & review
With LlamaIndex, governance is something you source and bolt on. Its observability and evaluation integrations instrument the pipeline, trace calls, and score retrieval and agent quality, then report what they find.
Agent Workflows can pause for human review at steps developers write into the workflow. Real-time policy enforcement, an immutable interaction ledger, pre-deployment classification, and a sealed audit artifact are not provided, and LlamaIndex publishes no mapping to the EU AI Act.
Block & escalate
Risk teams govern every agentic system without waiting on its developers, and every control they apply is guaranteed to be enforced. Risk teams choose from 1,718 controls drawn from 241 regulations and frameworks. Human-in-the-loop approvals, human-on-the-loop halt switches, sanitizers, guardrails, evaluations, testing gates, and simulations all run before an action executes and block or escalate anything that does not pass.
Every call is traced automatically into petabyte-scale, tamper-evident storage, and that same trace data feeds continuous evaluations that keep running in production, right alongside your agents.
Reach for the framework when the job is connecting, parsing, indexing, and retrieving your data so a model has the right context — that is what LlamaIndex is built for. LlamaIndex fits when you are prototyping agent patterns, when the system is internal or low-stakes enough that some downtime is fine, and when your team is ready to own the durable state, scaling, recovery, and governance that come with running it yourself.
Reach for the platform when the system has to stay up, survive failure, and recover on its own, and when it has to pass an audit and enforce governance while it runs. Akka fits when you want a single vendor accountable for availability under an SLA, and when you would rather ship the agentic system than build and operate the plumbing underneath it.
The Akka Agentic AI Platform builds, runs, governs and optimizes agentic systems under a contractual SLA. Tell us what you are building, and we will show you how it runs in production.
