Source: https://seerepo.com/compare/langchain-ai/langgraph/vs/run-llama/llama_index
Markdown source: https://seerepo.com/compare/langchain-ai/langgraph/vs/run-llama/llama_index.md
Description: langgraph and llama_index share 5 technologies: aiosqlite, psycopg, SQLite, LangChain, and Pydantic. Both are written in Python.

# langgraph vs llama_index

langgraph and llama_index share 5 technologies: aiosqlite, psycopg, SQLite, LangChain, and Pydantic. Both are written in Python.

- [langchain-ai/langgraph](https://seerepo.com/r/langchain-ai/langgraph): Build resilient agents.
- [run-llama/llama_index](https://seerepo.com/r/run-llama/llama_index): LlamaIndex is the document processing platform for AI

## What they share and what sets them apart

- In common: aiosqlite, psycopg, SQLite, LangChain, Pydantic
- Only in langgraph: psycopg-pool, Postgres, sqlite-vec, LangGraph, langgraph-sdk, langchain-protocol
- Only in llama_index: starlette, aiomysql, async-lru, asyncpg, azure-search-documents, azure-storage-blob, ibm-db, pgvecto-rs, pgvector, psycopg2-binary, pyzmq, Redis, weaviate-client, pyarrow, lancedb, oracledb, DuckDB, pymilvus, tablestore, chromadb, falkordb, MySQL, pinecone, clickhouse-connect, gcsfs, pyiceberg, pymochow, pymysql, pyobvector, s3fs, tcvectordb, typesense, ElevenLabs, anyio, graphql-core, tornado, AIOHTTP, Ray, soupsieve, tinycss2, ipywidgets, matplotlib-inline, prompt-toolkit, matplotlib, Rich, SQLAlchemy, argon2-cffi, azure-identity, Google, google-auth-httplib2, google-auth-oauthlib, cryptography, pyjwt, msal, einops, firecrawl-py, guardrails-ai, llama-index-core, mem0ai, OpenAI, opencv-python, PaddlePaddle, tavily-python, torch, transformers, ibm-watsonx-ai, cohere, tiktoken, MCP, sentence-transformers, dashscope, fastembed, flagembedding, nltk, sentencepiece, litellm, ModelScope, Ollama, openvino, scikit-learn, tritonclient, vLLM, datasets, exa-py, flashrank, hnswlib, langfuse, mlx, mlx-lm, nomic, optimum, paddleocr, peft, presidio-analyzer, tokenizers, beautifulsoup4, bleach, markupsafe, mistune, nbformat, newspaper3k, xlrd, pillow, bs4, html2text, unstructured, defusedxml, jinja2, lxml, pymupdf, filetype, docx2txt, markdownify, docling, lxml-html-clean, markitdown, nbconvert, pdf2image, pdfplumber, pypdf, pypdf2, tinytag, youtube-transcript-api, jsonschema-specifications, marshmallow, referencing, rfc3339-validator, docling-core, annotated-types, jsonschema, pydantic-core, opentelemetry-api, opentelemetry-semantic-conventions, prometheus-client, psutil, python-json-logger, boto3, docker, Alibaba Cloud, OpenTelemetry

## Side by side

| | langgraph | llama_index |
|---|---|---|
| Size | 206,994 lines written, 205 code files | 473,236 lines written, 2,055 code files |
| Who writes it | 0.8% of its commits signed by AI. With Claude Code, Cursor, GitHub Copilot, and Jules | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot |
| Activity | Last push November 6, 2026, 6,078 commits, 44,533 stars | Last push November 5, 2026, 7,963 commits, 52,820 stars |
| Tests | 247 test files. 50.7% of its code files have a test that imports them | 1,607 test files. 46.5% of its code files have a test that imports them |

- Size: Lines written by people and agents, without generated ones; code files, without tests.
- Who writes it: A commit counts as AI's when it carries its signature: a Co-Authored-By line, its author name or the merge of its branch.
- Activity: From GitHub and its history, on the day SeeRepo read it.
- Tests: The files that test the code, and the share of code files a test imports.

## Frequently asked questions

### Which is bigger, langgraph or llama_index?

llama_index, with 473,236 lines written; langgraph has 206,994.

The proof: [run-llama/llama_index's code at commit 444fdf0](https://github.com/run-llama/llama_index/tree/444fdf0684707de62ebb447d658dba137dd9cb99)

### Which has more GitHub stars, langgraph or llama_index?

llama_index, with 52,820 stars; langgraph has 44,533.

The proof: [run-llama/llama_index on GitHub](https://github.com/run-llama/llama_index)

### Which has more tests, langgraph or llama_index?

llama_index, with 1,607 test files; langgraph has 247.

The proof: [run-llama/llama_index's code at commit 444fdf0](https://github.com/run-llama/llama_index/tree/444fdf0684707de62ebb447d658dba137dd9cb99)

### Which was updated more recently, langgraph or llama_index?

langgraph: its last push was on November 6, 2026, and llama_index's on November 5, 2026.

The proof: [langchain-ai/langgraph's commits on GitHub](https://github.com/langchain-ai/langgraph/commits)

### Which has more commits signed by AI, langgraph or llama_index?

langgraph: an AI signed 0.8% of its commits, with Claude Code, Cursor, GitHub Copilot, and Jules; in llama_index, 0.2%.

The proof: [the commits each tool signed in langchain-ai/langgraph](https://seerepo.com/r/langchain-ai/langgraph/ai)

## Sources

- langchain-ai/langgraph: Read on November 6, 2026, at commit 5847733 (https://github.com/langchain-ai/langgraph/tree/5847733bcb186c26b32da5cc822eaf8a89deffeb)
- run-llama/llama_index: Read on November 5, 2026, at commit 444fdf0 (https://github.com/run-llama/llama_index/tree/444fdf0684707de62ebb447d658dba137dd9cb99)

## What is your repo built with?

Any public repo, with no account: https://seerepo.com/r/owner/repo/built, with the owner and name it has on GitHub.