arcadedb-haystack

v1.3.0 suspicious
4.0
Medium Risk

An integration of ArcadeDB with Haystack — document storage + HNSW vector search + SQL filtering

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows some signs of potential risk, particularly concerning its metadata and network usage. While there's no clear evidence of malicious activity, the combination of a new or inactive maintainer account and legitimate network calls warrants further scrutiny.

  • New or inactive maintainer account
  • Legitimate network calls via requests.Session()
Per-check LLM notes
  • Network: The use of requests.Session() suggests the package makes network calls, which is not inherently suspicious but should be reviewed for legitimacy based on package functionality.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret theft.
  • Metadata: The maintainer has a new or inactive account and lacks a proper author name, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (7.0/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/deepset-ai/haystack-core-integrations/blo
  • Brief PyPI description (701 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 38 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 16 unique contributor(s) across 100 commits in deepset-ai/haystack-core-integrations
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • base self._session = requests.Session() self._initialized = False def to_dict(self) -
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: arcadedb.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository deepset-ai/haystack-core-integrations appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with arcadedb-haystack 
Create a mini-application called 'DocumentExplorer' that integrates the power of ArcadeDB with Haystack to manage and search through a collection of documents. This application will allow users to upload various types of documents (e.g., PDFs, Word docs), store them efficiently using Haystack’s document storage capabilities, and enable semantic search over these documents leveraging HNSW vector search. Additionally, users should be able to filter their search results using SQL-like queries provided by ArcadeDB.

Key Features:
1. Document Upload: Users can upload multiple documents at once. Supported formats include PDF, DOCX, TXT.
2. Document Storage: Once uploaded, documents are stored in Haystack’s document storage system.
3. Semantic Search: Users can perform searches based on content within the documents using vector similarity search provided by HNSW.
4. SQL Filtering: Allow users to refine their search results using SQL-like filters.
5. User Interface: Develop a simple web-based UI where users can interact with the application.
6. Admin Panel: Include an admin panel for managing the documents (delete, update).
7. Analytics: Provide basic analytics on the usage patterns of the documents (most searched, most viewed).

How 'arcadedb-haystack' Package is Utilized:
- Use the package to handle the storage and retrieval of document metadata and content.
- Leverage the HNSW vector search capability to enable semantic search over the document contents.
- Utilize the SQL filtering feature to allow complex querying over the stored data.
- Ensure that all operations are performed securely and efficiently, taking advantage of the package's performance optimizations.

💬 Discussion Feed

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