Skip to main content

Interface between LLMs and your data

Project description

LlamaIndex Core

The core python package to the LlamaIndex library. Core classes and abstractions represent the foundational building blocks for LLM applications, most notably, RAG. Such building blocks include abstractions for LLMs, Vector Stores, Embeddings, Storage, Callables and several others.

We've designed the core library so that it can be easily extended through subclasses. Building LLM applications with LlamaIndex thus involves building with LlamaIndex core as well as with the LlamaIndex integrations needed for your application.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llama_index_core-0.12.4.tar.gz (1.3 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

llama_index_core-0.12.4-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file llama_index_core-0.12.4.tar.gz.

File metadata

  • Download URL: llama_index_core-0.12.4.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.10 Darwin/24.1.0

File hashes

Hashes for llama_index_core-0.12.4.tar.gz
Algorithm Hash digest
SHA256 a5f9a7c4d5ebf90957681c3a6ee3f27556639e3f8b5e5d59125cf617ce272ab0
MD5 8fee94110187e239b7e5630e9f5628a4
BLAKE2b-256 baa85d47d6669db5bfadede89b07b2b00e1078292682a316ea0a9a98822d0544

See more details on using hashes here.

File details

Details for the file llama_index_core-0.12.4-py3-none-any.whl.

File metadata

  • Download URL: llama_index_core-0.12.4-py3-none-any.whl
  • Upload date:
  • Size: 1.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.11.10 Darwin/24.1.0

File hashes

Hashes for llama_index_core-0.12.4-py3-none-any.whl
Algorithm Hash digest
SHA256 7bb6c552b09d7a0efc5423e841ecf77ae02139a1e80cfd846ff5a2a53a188fb2
MD5 388e487d7f37eaca31c5388f81dd226b
BLAKE2b-256 4150d742830de4a3c77740c97b8e2058d9de43c2f79b4a55393ee37e3c3c9c0c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page