RRepoGEO

REPOGEO REPORT · LITE

Abraxas-365/langchain-rust

Default branch main · commit cfc709a7 · scanned 5/20/2026, 12:01:51 AM

GitHub: 1,307 stars · 172 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
2 / 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 Abraxas-365/langchain-rust, 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 to emphasize 'framework'

    Why:

    CURRENT
    ⚡ Building applications with LLMs through composability, with Rust! ⚡
    COPY-PASTE FIX
    ⚡ LangChain for Rust: A comprehensive *framework* for building powerful, composable LLM applications with Rust! ⚡
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://langchain-rust.sellie.tech/
  • lowtopics#3
    Expand repository topics to include 'framework' and 'application' keywords

    Why:

    CURRENT
    langchain, llm, llms, openai, rust
    COPY-PASTE FIX
    langchain, llm, llms, openai, rust, llm-framework, ai-applications, generative-ai

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 Abraxas-365/langchain-rust
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
llm crate
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. llm crate · recommended 1×
  2. candle · recommended 1×
  3. tract · recommended 1×
  4. reqwest · recommended 1×
  5. async-openai · recommended 1×
  • CATEGORY QUERY
    How can I build large language model applications in Rust with composable components?
    you: not recommended
    AI recommended (in order):
    1. llm crate
    2. candle
    3. tract
    4. reqwest
    5. async-openai
    6. async-anthropic
    7. tokio
    8. serde
    9. serde_json

    AI recommended 9 alternatives but never named Abraxas-365/langchain-rust. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Rust libraries help integrate LLMs with search, vector databases, and conversational agents?
    you: not recommended
    AI recommended (in order):
    1. llm-chain (llm-chain/llm-chain)
    2. qdrant-client (qdrant/qdrant-client)
    3. pg_embedding (tensorchord/pg_embedding)
    4. candle (huggingface/candle)
    5. ollama-rs (ollama-rs/ollama-rs)
    6. elasticsearch-rs (elastic/elasticsearch-rs)
    7. pinecone-client-rs (pinecone-client-rs/pinecone-client-rs)

    AI recommended 7 alternatives but never named Abraxas-365/langchain-rust. 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 Abraxas-365/langchain-rust?
    pass
    AI did not name Abraxas-365/langchain-rust — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts Abraxas-365/langchain-rust in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Abraxas-365/langchain-rust 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 Abraxas-365/langchain-rust solve, and who is the primary audience?
    pass
    AI named Abraxas-365/langchain-rust explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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Abraxas-365/langchain-rust — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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