ELIPS (Python Bindings)

Embedded Local Index & Persistence System (ELIPS) Python package.

ELIPS is an in-process vector and document retrieval engine built in C++23 with native Python bindings. It keeps the embedded deployment model of SQLite, but adds ANN indexes, typed metadata filters, first-class document lineage, hybrid retrieval, segmented persistence, and optional GPU-backed indexes.

Installation

From PyPI

pip install elips

From Source

pip install .

Note: Building from source requires a C++23 compatible compiler (GCC 13+ or Clang 17+), CMake >= 3.24, and Ninja.

Quick Start

import elips

# Connect to database (either path or ":memory:")
engine = elips.connect(":memory:", dimension=128)

# Access or create a documents arena
arena = engine.arena("documents")

# Ingest documents with text and optional metadata
arena.ingest(
    texts=["alpha design note", "beta incident runbook"],
    meta=[{"kind": "design"}, {"kind": "ops"}],
)

# Run semantic search
for hit in arena.probe_text("alpha", top=2):
    print(hit.key, hit.distance, hit.text, hit.meta)

Features

  • Vector Search: Optimized HNSW (graph) and exact index backends.
  • Embedded Deployment: Simple SQLite-like single-writer/multi-reader lock model.
  • Local Embedding: Built-in local text embedding using local models.
  • Metadata Filters: Rich metadata equality filters via MetadataIndex and Filter.
  • Hybrid Retrieval: Combine dense semantic search and document retrieval out of the box.
  • Segmented Persistence: Durable writes with WAL crash recovery and snapshot checkpoints.
  • GPU Acceleration: Optional Metal backend on Apple Silicon and CUDA/Vulkan backends on Linux.

License

ELIPS Python bindings are released under the MIT License.

Project links

Data verified by PyPI on Aug 9, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

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  • Released:
Latest release

1 maintainer

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Avatar for axiomchronicles from gravatar.com axiomchronicles

Credits

Author: Pawan Kumar

GitHub Statistics

Data verified by PyPI on Aug 9, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

MIT
View SPDX License List

Requires

Python >=3.11

Classifiers

Report project as malware

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The following attestation bundles were made for elips-1.1.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl:

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