Skip to main content

IBM components (Db2 Vector Store + watsonx.ai LLM and embeddings) as a standalone Langflow Extension Bundle.

Project description

lfx-ibm

IBM components — Db2 Vector Store plus watsonx.ai LLM and embeddings — as a standalone Langflow Extension Bundle.

This bundle ships three components:

  • DB2VectorStoreComponent — wraps the DB2VS LangChain-compatible vector store and exposes Db2's native vector search through Langflow's standard vector-store palette entry.
  • WatsonxAIComponent — chat/text-generation against IBM watsonx.ai foundation models via langchain-ibm's ChatWatsonx.
  • WatsonxEmbeddingsComponent — embeddings via watsonx.ai's WatsonxEmbeddings model.

It follows the documented porting recipe in src/bundles/PORTING.md.

Install

pip install lfx-ibm

The bundle is registered automatically via the langflow.extensions entry-point. After install, restart your Langflow server; the three components appear in the palette under the ibm bundle group.

Platform notes:

  • The ibm-db driver does not ship a prebuilt wheel for linux/aarch64; the dep is gated with a marker so pip install succeeds on that architecture, but DB2VectorStoreComponent will fail to build the vector store at runtime there. Use an x86_64 image or install ibm-db from source if you need Db2 on aarch64.
  • ibm-watsonx-ai (>=1.5.13) and langchain-ibm (>=1.1.0) added Python 3.14 support upstream, so the watsonx components are importable on every supported Python version (3.10-3.14). Earlier releases capped at <3.14; the bundle pins were bumped to pick up the 3.14-capable builds.

Develop

cd src/bundles/ibm
pip install -e .
lfx extension validate src/lfx_ibm

Manifest

The extension manifest is shipped at src/lfx_ibm/extension.json and points at the bundle at components/ibm. Components register under the canonical namespaced IDs:

  • ext:ibm:DB2VectorStoreComponent@official
  • ext:ibm:WatsonxAIComponent@official
  • ext:ibm:WatsonxEmbeddingsComponent@official

Migration

Saved flows referencing the legacy bare class names (DB2VectorStoreComponent, WatsonxAIComponent, WatsonxEmbeddingsComponent) or the old import paths (lfx.components.ibm.<module>.<Class> and the package-level lfx.components.ibm.<Class> forms) are rewritten to the new namespaced IDs by the migration table in src/lfx/src/lfx/extension/migration/migration_table.json.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

lfx_ibm_nightly-0.1.0.dev1-py3-none-any.whl (26.4 kB view details)

Uploaded Python 3

File details

Details for the file lfx_ibm_nightly-0.1.0.dev1-py3-none-any.whl.

File metadata

  • Download URL: lfx_ibm_nightly-0.1.0.dev1-py3-none-any.whl
  • Upload date:
  • Size: 26.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.19 {"installer":{"name":"uv","version":"0.11.19","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for lfx_ibm_nightly-0.1.0.dev1-py3-none-any.whl
Algorithm Hash digest
SHA256 0775c78ca6667ff6c62213afb6ba5426ef44f74fe0284a4968ab2f44dc9a8d5f
MD5 e88b64588fc5f3f3d6616ac20e6c4b0d
BLAKE2b-256 7939662430adc9f053bff68841dff480116abef9414d2bc1dd24b08a25be18bb

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