autollm

by viddexa · AI 工具 · ★ 1.0k

About autollm

questions | feature requests 🤔 why autollm? Simplify. Unify. Amplify. ❌

anthropicbedrockcoherefastapigradiolangchainlarge-language-modelsllama-indexllama2llm

Quick Facts

Stars1,005
Forks98
LanguagePython
CategoryAI 工具
LicenseAGPL-3.0
Quality Score34.75/100
Open Issues3
Last Updated2024-01-29
Created2023-09-21
Platformsbrowser, python
Est. Tokens~17k

Compatible Skills

These tools work well together with autollm for enhanced workflows:

  • RAGLight — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (64%)
  • litellm — semantic(0.16)+complementary+rare_topics+same_lang+shared_platform (55%)
  • ragflow — semantic(0.20)+complementary+rare_topics+same_lang+shared_platform (52%)
  • knowledge-rag — semantic(0.21)+complementary+rare_topics+same_lang+shared_platform (51%)
  • MODULAR-RAG-MCP-SERVER — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is autollm?

autollm is Ship RAG based LLM web apps in seconds.. It is categorized as a AI 工具 with 1.0k GitHub stars.

What programming language is autollm written in?

autollm is primarily written in Python. It covers topics such as anthropic, bedrock, cohere.

How do I install or use autollm?

You can find installation instructions and usage details in the autollm GitHub repository at github.com/viddexa/autollm. The project has 1.0k stars and 98 forks, indicating an active community.

What license does autollm use?

autollm is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

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