Source: https://seerepo.com/compare/run-llama/llama_index/vs/semantica-agi/semantica
Markdown source: https://seerepo.com/compare/run-llama/llama_index/vs/semantica-agi/semantica.md
Description: llama_index and semantica share 67 technologies: starlette, aiosqlite, async-lru, azure-storage-blob, pgvector, psycopg, psycopg2-binary, pyzmq, Redis, weaviate-client, pyarrow, pymilvus, SQLite, falkordb, pinecone, anyio, tornado, AIOHTTP, soupsieve, tinycss2, ipywidgets, matplotlib-inline, prompt-toolkit, matplotlib, Rich, argon2-cffi, Google, cryptography, OpenAI, opencv-python, torch, transformers, LangChain, tiktoken, sentence-transformers, fastembed, litellm, Ollama, scikit-learn, tokenizers, beautifulsoup4, bleach, markupsafe, mistune, nbformat, pillow, defusedxml, jinja2, lxml, filetype, docling, nbconvert, pdfplumber, jsonschema-specifications, referencing, rfc3339-validator, Pydantic, docling-core, annotated-types, jsonschema, pydantic-core, opentelemetry-semantic-conventions, prometheus-client, psutil, python-json-logger, boto3, and OpenTelemetry. Both are written in Python.

# llama_index vs semantica

llama_index and semantica share 67 technologies: starlette, aiosqlite, async-lru, azure-storage-blob, pgvector, psycopg, psycopg2-binary, pyzmq, Redis, weaviate-client, pyarrow, pymilvus, SQLite, falkordb, pinecone, anyio, tornado, AIOHTTP, soupsieve, tinycss2, ipywidgets, matplotlib-inline, prompt-toolkit, matplotlib, Rich, argon2-cffi, Google, cryptography, OpenAI, opencv-python, torch, transformers, LangChain, tiktoken, sentence-transformers, fastembed, litellm, Ollama, scikit-learn, tokenizers, beautifulsoup4, bleach, markupsafe, mistune, nbformat, pillow, defusedxml, jinja2, lxml, filetype, docling, nbconvert, pdfplumber, jsonschema-specifications, referencing, rfc3339-validator, Pydantic, docling-core, annotated-types, jsonschema, pydantic-core, opentelemetry-semantic-conventions, prometheus-client, psutil, python-json-logger, boto3, and OpenTelemetry. Both are written in Python.

- [run-llama/llama_index](https://seerepo.com/r/run-llama/llama_index): LlamaIndex is the document processing platform for AI
- [semantica-agi/semantica](https://seerepo.com/r/semantica-agi/semantica): Graph-Native Infrastructure for Context and Accountable AI Systems

## What they share and what sets them apart

- In common: starlette, aiosqlite, async-lru, azure-storage-blob, pgvector, psycopg, psycopg2-binary, pyzmq, Redis, weaviate-client, pyarrow, pymilvus, SQLite, falkordb, pinecone, anyio, tornado, AIOHTTP, soupsieve, tinycss2, ipywidgets, matplotlib-inline, prompt-toolkit, matplotlib, Rich, argon2-cffi, Google, cryptography, OpenAI, opencv-python, torch, transformers, LangChain, tiktoken, sentence-transformers, fastembed, litellm, Ollama, scikit-learn, tokenizers, beautifulsoup4, bleach, markupsafe, mistune, nbformat, pillow, defusedxml, jinja2, lxml, filetype, docling, nbconvert, pdfplumber, jsonschema-specifications, referencing, rfc3339-validator, Pydantic, docling-core, annotated-types, jsonschema, pydantic-core, opentelemetry-semantic-conventions, prometheus-client, psutil, python-json-logger, boto3, OpenTelemetry
- Only in llama_index: aiomysql, asyncpg, azure-search-documents, ibm-db, pgvecto-rs, lancedb, oracledb, DuckDB, tablestore, chromadb, MySQL, clickhouse-connect, gcsfs, pyiceberg, pymochow, pymysql, pyobvector, s3fs, tcvectordb, typesense, ElevenLabs, graphql-core, Ray, SQLAlchemy, azure-identity, google-auth-httplib2, google-auth-oauthlib, pyjwt, msal, einops, firecrawl-py, guardrails-ai, llama-index-core, mem0ai, PaddlePaddle, tavily-python, ibm-watsonx-ai, cohere, MCP, dashscope, flagembedding, nltk, sentencepiece, ModelScope, openvino, tritonclient, vLLM, datasets, exa-py, flashrank, hnswlib, langfuse, mlx, mlx-lm, nomic, optimum, paddleocr, peft, presidio-analyzer, newspaper3k, xlrd, bs4, html2text, unstructured, pymupdf, docx2txt, markdownify, lxml-html-clean, markitdown, pdf2image, pypdf, pypdf2, tinytag, youtube-transcript-api, marshmallow, opentelemetry-api, docker, Alibaba Cloud
- Only in semantica: FastAPI, amqp, Celery, gitdb, google-cloud-core, kafka-python, kombu, psycopg-binary, psycopg-pool, s3transfer, smart-open, Neo4j, Postgres, pika, sqlite-vec, Google Cloud Storage, Kafka, Qdrant, jupyter-core, jupyterlab-server, uvicorn, Vite, React, cycler, fonttools, jupyterlab-pygments, contourpy, jupyter-server-terminals, jupyterlab-widgets, pyvis, questionary, seaborn, widgetsnbextension, Plotly, argon2-cffi-bindings, authlib, joserfc, accelerate, agnoctl, cuda-bindings, hdbscan, langchain-protocol, langsmith, librosa, llvmlite, onnxruntime, pynndescent, rapidocr, safetensors, spaCy, spacy-legacy, thinc, torchvision, triton, typesafe-sdk, umap-learn, agno, google-adk, faiss-cpu, gensim, groq, instructor, langdetect, doclang, docling-ibm-models, docling-parse, docling-slim, et-xmlfile, latex2mathml, mail-parser, markdown-it-py, Marko, mdurl, olefile, pandocfilters, pdfminer-six, pylatexenc, pypdfium2, python-oxmsg, webencodings, xlsxwriter, openpyxl, python-docx, python-pptx, fastjsonschema, fqdn, msgspec, rfc3986-validator, rfc3987-syntax, validators, azure-core, colorlog, loguru, opentelemetry-instrumentation, spacy-loggers, structlog, botocore, sigma, @monaco-editor/react, react-dropzone, xyflow, graphology-layout-forceatlas2, react-arborist, vis-timeline, Lucide, react-markdown, remark-gfm

## Side by side

| | llama_index | semantica |
|---|---|---|
| Size | 473,236 lines written, 2,055 code files | 467,678 lines written, 536 code files |
| Who writes it | 0.2% of its commits signed by AI. With Claude Code, Cursor, and GitHub Copilot | 10.1% of its commits signed by AI. With Claude Code, GitHub Copilot, Codex, and Cursor |
| Activity | Last push November 5, 2026, 7,963 commits, 52,820 stars | Last push November 8, 2026, 2,499 commits, 14,477 stars |
| Tests | 1,607 test files. 46.5% of its code files have a test that imports them | 556 test files. 72.6% 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, llama_index or semantica?

llama_index, with 473,236 lines written; semantica has 467,678.

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, llama_index or semantica?

llama_index, with 52,820 stars; semantica has 14,477.

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

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

llama_index, with 1,607 test files; semantica has 556.

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, llama_index or semantica?

semantica: its last push was on November 8, 2026, and llama_index's on November 5, 2026.

The proof: [semantica-agi/semantica's commits on GitHub](https://github.com/semantica-agi/semantica/commits)

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

semantica: an AI signed 10.1% of its commits, with Claude Code, GitHub Copilot, Codex, and Cursor; in llama_index, 0.2%.

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

## Sources

- run-llama/llama_index: Read on November 5, 2026, at commit 444fdf0 (https://github.com/run-llama/llama_index/tree/444fdf0684707de62ebb447d658dba137dd9cb99)
- semantica-agi/semantica: Read on November 9, 2026, at commit 39cf721 (https://github.com/semantica-agi/semantica/tree/39cf7216d2326b012436efebf8a227e82f37dd3b)

## 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.