Welcome to LlamaIndex πŸ¦™ !

LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM’s with external data.

Note: The current version of LlamaIndex (v0.6) is still in pre-release mode.


πŸš€ Overview


  • LLMs are a phenomenonal piece of technology for knowledge generation and reasoning. They are pre-trained on large amounts of publicly available data.

  • How do we best augment LLMs with our own private data?

  • One paradigm that has emerged is in-context learning (the other is finetuning), where we insert context into the input prompt. That way, we take advantage of the LLM’s reasoning capabilities to generate a response.

To perform LLM’s data augmentation in a performant, efficient, and cheap manner, we need to solve two components:

  • Data Ingestion

  • Data Indexing

Proposed Solution

That’s where the LlamaIndex comes in. LlamaIndex is a simple, flexible interface between your external data and LLMs. It provides the following tools in an easy-to-use fashion:

  • Offers data connectors to your existing data sources and data formats (API’s, PDF’s, docs, SQL, etc.)

  • Provides indices over your unstructured and structured data for use with LLM’s. These indices help to abstract away common boilerplate and pain points for in-context learning:

    • Storing context in an easy-to-access format for prompt insertion.

    • Dealing with prompt limitations (e.g. 4096 tokens for Davinci) when context is too big.

    • Dealing with text splitting.

  • Provides users an interface to query the index (feed in an input prompt) and obtain a knowledge-augmented output.

  • Offers you a comprehensive toolset trading off cost and performance.