The best LEANN alternatives
8 tools that do a similar job to LEANN, 8 of them open source. Each entry says what it does and who it suits, so you can pick the one that fits instead of the most famous.
You're replacing
LEANNLocal semantic search over your own files and chats, using far less storage than typical vector databases.
- 1
LlamaIndex
Open source · MIT · ★ 52.8k
Python framework for building LLM apps that query your own documents and data.
Best for: Python developers building retrieval-augmented generation (RAG) apps over private documents; Teams wanting a modular toolkit where they can swap LLM, embedding and vector store providers
- 2
Faiss
Open source · MIT · ★ 41.2k
A C++ library with Python bindings for fast similarity search over large sets of vectors.
Best for: Developers building semantic search or recommendation features over embedding vectors; Teams working with very large vector collections that need compressed indexes
- 3
PageIndex
Open source · MIT · ★ 40k
Lets an AI find answers in long documents by reading a table-of-contents-style tree, not vector search.
Best for: Developers building question-answering over long PDFs such as annual reports or manuals; Teams who want retrieved answers to be traceable to explicit sections of a document
- 4
LightRAG
Open source · MIT · ★ 40.5k
A Python library that builds a knowledge graph from your documents to answer questions with an LLM.
Best for: Developers building question-answering over their own document collections; Teams who want a graph-based alternative to plain vector-search RAG
- 5
turbovec
Open source · MIT · ★ 17.5k
A compressed vector search index for Python and Rust that runs inside your own process.
Best for: Python or Rust developers building semantic search over a few million or fewer embeddings on a single machine; RAG pipelines that need a local, offline vector store
- 6
LangGraph
Open source · MIT · ★ 44.3k
A Python framework for building long-running agents that keep state and can resume after failures.
Best for: Python developers building multi-step AI agents that must survive failures or long waits; Teams that want fine-grained control over agent state and execution flow
- 7
BGE
Open source · MIT · ★ 12.3k
A toolkit of open embedding and reranking models for search and retrieval-augmented generation (RAG).
Best for: Developers building semantic search over their own documents; Teams adding retrieval-augmented generation (RAG) to an LLM app
- 8
GraphRAG
Open source · MIT · ★ 36.5k
Python pipeline that uses an LLM to turn raw text into a graph for answering questions over private documents.
Best for: Researchers exploring graph-based retrieval over narrative or private text; Developers who want to experiment with LLM-built knowledge graphs from their own documents
How we pick: tools in the same category that solve the same problem, projects that name each other as alternatives, and open-source projects that describe themselves as an alternative to LEANN. We don't take payment for placement.