ScriptAI Infrastructurev1.0

Hybrid Search Setup

by AaaS · open-source · Last verified 2026-03-01

Configures a hybrid search system combining dense vector similarity with sparse BM25 keyword matching. Sets up dual index creation, score fusion strategies, and query routing logic for optimal retrieval across different query types.

https://aaas.blog/script/hybrid-search-setup ↗

D—Poor

Adoption: C+Quality: AFreshness: ACitations: FEngagement: F

Specifications

License: MIT
Pricing: open-source
Capabilities: dual-index-creation, score-fusion, query-routing, bm25-indexing, vector-indexing
Integrations: pinecone-client, elasticsearch, langchain, sentence-transformers
Use Cases: enterprise-search, e-commerce-search, document-retrieval, knowledge-base-search
API Available: No
Language: python
Dependencies: pinecone-client, elasticsearch, langchain, sentence-transformers, rank-bm25
Environment: Python 3.11+ with Elasticsearch 8.x
Est. Runtime: 5-15 minutes depending on index size
Tags: script, automation, search, hybrid, sparse-dense
Added: 2026-03-17
Completeness: 80%

Index Score

Adoption

Quality

Freshness

Citations

Engagement

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