REPOGEO REPORT · LITE

langchain-ai/langchain-extract

Default branch main · commit 22b8897a · scanned 5/12/2026, 10:47:29 AM

GitHub: 1,195 stars · 122 forks

AI VISIBILITY SCORE

35 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface langchain-ai/langchain-extract, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition README opening and update description to clarify repo's nature

Why:

CURRENT

Description: 🦜⛏️ Did you say you like data?
README excerpt starts: "**Archived**

This is an example repo that is no longer maintained, but you can use it as a reference for implementing an extraction service with a UI.

Do not use code from `main`. Instead please checkout code from releases

This repository is not a library, but a jumping point for your own application -- so do not be surprised to find breaking changes between releases!

# 🦜⛏️ LangChain Extract"

COPY-PASTE FIX

Description: A reference web service for LLM-powered data extraction with FastAPI and LangChain.
README opening: "# 🦜⛏️ LangChain Extract: A Reference Web Service for LLM Data Extraction

This repository provides a **reference implementation** for building an LLM-powered data extraction web service with a UI, using FastAPI, LangChain, and Postgresql. It is designed as a **starting point for your own application**, not a library for direct import. While **archived and no longer maintained**, it remains a valuable functional example. Please use code from releases, not `main`."

mediumhomepage#2
Add a homepage URL
Why:
COPY-PASTE FIX
```
https://python.langchain.com/docs/use_cases/extraction/
```

lowtopics#3

Refine topics to emphasize 'application' and 'service' aspects

Why:

CURRENT

extraction, extraction-data, fastapi, langchain, langchain-python, llm, llms

COPY-PASTE FIX

extraction, extraction-data, fastapi, langchain, langchain-python, llm, llms, llm-application, web-service, reference-implementation, example-app

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface langchain-ai/langchain-extract

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 2×
OpenAI API · recommended 2×
FastAPI · recommended 1×
Pydantic · recommended 1×
Hugging Face Transformers · recommended 1×

CATEGORY QUERY
How to build a web service for extracting structured data from documents using LLMs?
you: not recommended
AI recommended (in order):
1. FastAPI
2. Pydantic
3. LangChain
4. OpenAI API
5. Hugging Face Transformers
6. Unstructured
7. Docker
8. PostgreSQL
AI recommended 8 alternatives but never named langchain-ai/langchain-extract. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Looking for a reference implementation for an LLM-powered data extraction backend with a UI.
you: not recommended
AI recommended (in order):
1. LlamaIndex
2. Streamlit
3. Gradio
4. LangChain
5. Haystack
6. OpenAI API
7. Flask
8. Django
9. React
10. Vue.js
11. Nomic Atlas
AI recommended 11 alternatives but never named langchain-ai/langchain-extract. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of langchain-ai/langchain-extract?
pass
AI named langchain-ai/langchain-extract explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts langchain-ai/langchain-extract in production, what risks or prerequisites should they evaluate first?
pass
AI named langchain-ai/langchain-extract explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo langchain-ai/langchain-extract solve, and who is the primary audience?
pass
AI named langchain-ai/langchain-extract explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/langchain-ai/langchain-extract.svg)](https://repogeo.com/en/r/langchain-ai/langchain-extract)

HTML

<a href="https://repogeo.com/en/r/langchain-ai/langchain-extract"><img src="https://repogeo.com/badge/langchain-ai/langchain-extract.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite