django-hawkeye 0.2.0

Django-hawkeye full-text search using PostgreSQL pg_textsearch - a lightweight Elasticsearch alternative

django-hawkeye 🎯

Django BM25 full-text search using PostgreSQL pg_textsearch - a lightweight Elasticsearch alternative.

Features

• Simple API - Just add a mixin and search with Article.search("query")
• BM25 ranking - Industry-standard relevance scoring (same as Elasticsearch)
• No external services - Uses PostgreSQL 17+ native search
• RAG-ready - Use as the retrieval layer for Retrieval Augmented Generation

Requirements

• PostgreSQL 17+
• pg_textsearch extension
• Django 4.2+
• Python 3.10+

Installation

pip install django-hawkeye

PostgreSQL Extension Setup

This library requires the pg_textsearch extension installed on your PostgreSQL server:

# Install build dependencies
apt-get install build-essential git postgresql-server-dev-17

# Clone and build
git clone https://github.com/timescale/pg_textsearch.git
cd pg_textsearch
make && make install

The extension is automatically enabled via Django migrations when you run python manage.py migrate.

See the pg_textsearch repository for detailed installation instructions.

Add to INSTALLED_APPS:

INSTALLED_APPS = [
    ...
    'django_hawkeye',
]

Quick Start

1. Define your model

from django.db import models
from django_hawkeye import BM25Index, BM25Searchable

class Article(BM25Searchable, models.Model):
    title = models.CharField(max_length=255)
    content = models.TextField()

    class Meta:
        indexes = [
            BM25Index(fields=['content'], name='article_bm25_idx'),
        ]

2. Run migrations

python manage.py makemigrations
python manage.py migrate

3. Search

# Basic search
Article.search("django tutorial")

# With filters
Article.search("web framework").filter(published=True)[:10]

# With score threshold (lower = better match)
Article.search("django").filter(bm25_score__lt=-1.0)

API

BM25Searchable Mixin

Add to any model to enable .search() method:

class Article(BM25Searchable, models.Model):
    ...

BM25Index

BM25Index(
    fields=['content'],
    name='article_bm25_idx',
    text_config='english',  # PostgreSQL text search config
    k1=1.2,                 # Term frequency saturation (0.1-10.0)
    b=0.75,                 # Length normalization (0.0-1.0)
)

Search Methods

# Basic search - returns BM25SearchQuerySet
Article.search("query")

# Chainable with Django QuerySet methods
Article.search("query").filter(author="John")
Article.search("query").exclude(draft=True)
Article.search("query").select_related('author')
Article.search("query")[:10]  # Limit results

# Filter by score threshold
Article.search("query").filter(bm25_score__lt=-1.0)

Advanced Usage

Override search() method

class Article(BM25Searchable, models.Model):
    title = models.CharField(max_length=255)
    content = models.TextField()

    class Meta:
        indexes = [
            BM25Index(fields=['content'], name='article_bm25_idx'),
        ]

    @classmethod
    def search(cls, query, include_title=False):
        """Custom search with optional title filtering."""
        results = super().search(query)
        if include_title:
            results = results.filter(title__icontains=query)
        return results

Direct Expression API

Use BM25Score for full control:

from django_hawkeye import BM25Score

# Manual annotation
Article.objects.annotate(
    score=BM25Score('content', 'search query', index_name='article_bm25_idx')
).order_by('score')

# Multi-field weighted search
from django.db.models import F

Article.objects.annotate(
    title_score=BM25Score('title', query, index_name='title_idx'),
    content_score=BM25Score('content', query, index_name='content_idx'),
).annotate(
    combined=F('title_score') * 2 + F('content_score')
).order_by('combined')

Without Mixin

from django_hawkeye import BM25Index, BM25Score

class Article(models.Model):
    content = models.TextField()

    class Meta:
        indexes = [
            BM25Index(fields=['content'], name='article_bm25_idx'),
        ]

    @classmethod
    def search(cls, query):
        return cls.objects.annotate(
            score=BM25Score('content', query, index_name='article_bm25_idx')
        ).filter(score__lt=0).order_by('score')

Score Semantics

pg_textsearch returns NEGATIVE scores. Lower values = better match.

# Correct - ascending order (best matches first)
Article.search("query")  # Already ordered correctly

# Manual ordering
.order_by('bm25_score')  # ✓ Correct
.order_by('-bm25_score') # ✗ Wrong - worst matches first

Why Hawkeye?

Feature	Elasticsearch	django-hawkeye
Infrastructure	Separate cluster	Your PostgreSQL
Sync	Manual index sync	Automatic (native)
Cost	$$$	Free
Setup	Complex	Add mixin + migrate
BM25 ranking	✓	✓

License

MIT

Links

• pg_textsearch - The PostgreSQL extension
• BM25 Algorithm - How ranking works