Open SourceFramework38k
LlamaIndex
Data framework for RAG; ingest, index and query your own corpus.
LlamaIndex is a data framework for connecting large language models to private or domain-specific data, with a focus on retrieval-augmented generation (RAG). It provides data loaders, indexing structures, retrievers, and query engines to ingest documents and serve grounded answers. It is widely used for building question-answering systems and knowledge assistants over custom corpora.
Repository
run-llama/llama_indexLanguage
PythonWhat you'd build with it
- Building a RAG pipeline that answers questions over internal documents
- Ingesting and indexing PDFs, databases, and APIs for LLM retrieval
- Creating query engines and agents that route across multiple data sources
Tags
ragretrievalindexing