# fcakyon/autollm

Ship RAG based LLM web apps in seconds.

Repository: https://github.com/fcakyon/autollm
Canonical: https://ross.abutalabs.com/products/autollm
Language: Python
License: AGPL-3.0
License Family: copyleft
Topics: anthropic, bedrock, cohere, fastapi, langchain, large-language-models, llama-index, llama2, llm, openai, palm, pypi, python, retrieval-augmented-generation, vector-database, vertex-ai, gradio
Archived: true
Last push: 2024-01-29T08:07:50+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 76
- inputs: {"age_days": 1077, "days_push": 947, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1005, forks 97 (observed 2026-09-03T02:15:11.879301+00:00)

## What it is
AutoLLM is a Python library for rapidly building RAG-based LLM web apps and APIs, offering a unified API over 100+ LLM providers and 20+ vector databases with one-line query engine and FastAPI setup. It wraps LlamaIndex and LangChain to simplify shipping retrieval-augmented chat applications.

## Use cases
- build a rag chatbot over my documents
- create an llm api server in one line
- query pdfs with a large language model
- unified interface for openai anthropic cohere llms
- ship a question answering web app fast
- connect multiple vector databases to an llm

## When to choose
- you want a minimal-code RAG pipeline with FastAPI or Gradio deployment
- you need to swap between many LLM providers and vector stores behind one API
- you want built-in cost calculation across providers

## When to avoid
- you need fine-grained control over retrieval and prompting that raw LlamaIndex gives
- you require a permissive license for closed-source use (AGPL-3.0)
- you need actively maintained software - releases stopped in early 2024

## Facets
- artifact type: library
- maturity: maintenance
- function: rag, llm-inference, web-framework, vector-database, api-framework
- domain: large-language-models, artificial-intelligence, web-development
- platform: python, self-hosted
- tags: llamaindex, langchain, fastapi, gradio, openai, multi-provider-llm, query-engine, retrieval-augmented-generation, docker

## Member repositories
- fcakyon/autollm (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:11.879301+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:12:46.058978+00:00, confidence not recorded.
  - readme: https://github.com/fcakyon/autollm (fetched 2026-09-03T02:15:11.879301+00:00, sha 04059e76b0a6)
- Data as of 2026-08-30T08:39:29.467469+00:00.