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LlamaIndexv0.14.25Tested (smoke test)

LlamaIndex: what’s new in v0.14.25 and our verdict

Open-source data framework for retrieval-augmented generation and document-centred agents, with a hosted document platform alongside.

Official site

Release Ruler for LlamaIndex: marked at its Tested release date on the timeline of every AI model we track.

At a glance

Evidence
Tested (smoke test)
Released
Sep 21, 2026
Last verified
Oct 25, 2026
Pricing
Official page, dated
Best for
agent building

Evidence and ranking

Evidence behind this verdict

  1. Sources read2 cited sources, latest fetched Oct 25, 2026. (done)
  2. Facts re-checkedLast verified Oct 25, 2026. (done)
  3. Run by usSmoke test on Oct 25, 2026 (scope below). (done)

Passed Test log result: Passed. Read the log

Where we rank it (editorial)

Listed here but not yet ranked. Ranks are editorial picks, not benchmark scores.

Pricing: Open-source library is free; the hosted LlamaCloud product has its own pricing that we did not read. (checked 2026-10-25)

Our verdict

Open-source data framework for retrieval-augmented generation and document-centred agents, with a hosted document platform alongside.

Good for

  • RAG and document-question-answering projects
  • Teams with lots of PDFs and unstructured data

Skip if

  • You need a general multi-agent orchestrator rather than data tooling

Tested. Tested 2026-10-25 (America/Chicago). LlamaIndex 0.14.25 passed our one-tool task on a local 3B model: 3 of 3 trials; cold uv install 3.4 s. Test environment: Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key. Agent tools were pointed at a local open-weight model (Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11), so we tested the tool, not any vendor's hosted models. Not tested: Any vendor-hosted model: everything ran on a local 3B model, so tool-call reliability with frontier models is not measured here; Multi-agent flows, memory, long conversations, streaming, tracing and cloud deployment; Anything beyond one tool and one question; three trials is a smoke test, not a benchmark; Indexing, retrieval, embeddings and the data connectors that LlamaIndex is mostly used for. These are smoke tests, not a benchmark. Full log: /tests/llamaindex.

Full test log with exact commands, versions and raw output: LlamaIndex 0.14.25: our test log.

Evidence
Tested (smoke test, 2026-10-25, local 3B model (Qwen2.5-3B)). A smoke test is not a benchmark.
What we ran
LlamaIndex 0.14.25 passed our one-tool task on a local 3B model: 3 of 3 trials; cold uv install 3.4 s.
Model used
Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11
Environment
Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key
Not tested
Any vendor-hosted model: everything ran on a local 3B model, so tool-call reliability with frontier models is not measured here; Multi-agent flows, memory, long conversations, streaming, tracing and cloud deployment; Anything beyond one tool and one question; three trials is a smoke test, not a benchmark; Indexing, retrieval, embeddings and the data connectors that LlamaIndex is mostly used for.
Date
(America/Chicago)

Best for

Key facts

LlamaIndex's repository is MIT-licensed with release v0.14.25 tagged Sep 21, 2026 and recent pushes in October 2026. It focuses on connecting LLMs to your data: loaders, indexes, query engines and agent workflows.

  • License: MIT (per GitHub)
  • Platforms: Python and TypeScript libraries; hosted cloud product
  • Pricing model: Free and open source
  • Free tier: Free to self-host
  • Paid plans: None listed for the library
  • GitHub: run-llama/llama_index: 52,662 stars on 2026-10-25, last push 2026-10-23
  • Latest release we saw: v0.14.25, 2026-09-21
  • How to start: Install llama-index with pip and follow the starter tutorial in the docs.
  • v0.14.25 (2026-09-21): the newest release listed on the official page or repository when we read it on 2026-10-25.

How to set it up: Get started with LlamaIndex

These steps come from the vendor's own pages as read on 2026-10-25. We ran LlamaIndex on 2026-10-25; the test log lists what was and was not covered.

  1. Get access

    Install llama-index with pip and follow the starter tutorial in the docs.

  2. Check the limits and costs first

    Free to self-host. Open-source library is free; the hosted LlamaCloud product has its own pricing that we did not read.

Pros and cons

Pros

  • Strong data-ingestion focus
  • MIT license

Cons

  • Hosted product pricing not read here
  • Our test was one small task on a local 3B model; it does not show behaviour with hosted models or larger jobs

Alternatives and comparisons

  • LangChain: Open-source framework for building LLM applications and agents in Python and JavaScript, from the team behind LangGraph and LangSmith.
  • Haystack: Apache-2.0 Python framework for building search, RAG and agent pipelines, maintained by deepset.
  • LangGraph: Low-level framework for building long-running, stateful agents as graphs.
  • Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.

See all alternatives to LlamaIndex

FAQ

What is LlamaIndex?

LlamaIndex's repository is MIT-licensed with release v0.14.25 tagged Sep 21, 2026 and recent pushes in October 2026. It focuses on connecting LLMs to your data: loaders, indexes, query engines and agent workflows.

Is LlamaIndex free?

Free to self-host. Open-source library is free; the hosted LlamaCloud product has its own pricing that we did not read. Checked 2026-10-25; prices change, so confirm on the vendor's page.

What license is LlamaIndex under?

Its license: MIT (per GitHub). Read from the project's own pages on 2026-10-25.

What we have not verified

  • Hosted product pricing

Sources

Last verified · Agentic Weekly

  • Langflow: MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following.
  • Botpress: Customer-support AI agent platform with a free plan and conversation-based paid plans.
  • Gumloop: Agent builder for teams; plans start at $37 per month with 20k included credits.

How to cite this page

Agentic Weekly, "LlamaIndex v0.14.25: what's new, verdict & setup", last updated 2026-10-25, https://theagenticweekly.com/tools/llamaindex

Keep the Reported or Tested label when you quote a verdict. Plain-text version: https://theagenticweekly.com/tools/llamaindex.md. More for AI assistants: /ai, /tools.json, /llms.txt.