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-0.12.15.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-0.12.15-py3-none-any.whl (1.6 MB view details)

Uploaded Python 3

File details

Details for the file llama_index_core-0.12.15.tar.gz.

File metadata

  • Download URL: llama_index_core-0.12.15.tar.gz
  • Upload date:
  • Size: 1.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.3 CPython/3.10.12 Darwin/24.1.0

File hashes

Hashes for llama_index_core-0.12.15.tar.gz
Algorithm Hash digest
SHA256 f9aaeef792db24d490b1e3484d2bbd1b3c43e7a24a40fd6dbd1b298efb1f9429
MD5 e1782aaaaffc39391732eedc8f572b71
BLAKE2b-256 b710dbf64106540e3eb3324243f547f049529b26c4050a6aa52516751cd4a907

See more details on using hashes here.

File details

Details for the file llama_index_core-0.12.15-py3-none-any.whl.

File metadata

  • Download URL: llama_index_core-0.12.15-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/3.10.12 Darwin/24.1.0

File hashes

Hashes for llama_index_core-0.12.15-py3-none-any.whl
Algorithm Hash digest
SHA256 0c65ca72c4fb43a77a2463f2114d6eb570681d729139879ed659179798ecab7f
MD5 b60fc210a816630c5aaf3dcdff07af8a
BLAKE2b-256 ef5ee98c2381a3181e01152d3f3d843a1c922c168e245b74c19941aa3eddbe97

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