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Embenx Documentation
Embenx Documentation

Contents:

  • Creating a Collection
  • Inserting Data
  • Performing Search
  • OpenSearch Example
  • Hybrid Search (Dense + Sparse)
  • Advanced Search Patterns
  • Serialization
  • Evaluation & Benchmarking
  • Synthetic Data Generation
  • General Commands
  • Benchmarking
  • Agentic & Visual
  • Retrieval Zoo
  • Maintenance
  • Visual Tools & Dashboard
  • Research-Driven Optimizations
  • Agentic Memory structures
  • Core
  • Benchmark
  • Reranking
  • Data & Zoo
  • LLM & Embedding
  • Agentic & MCP
  • Indexers
  • Contributing
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Python Module Index

b | c | d | i | l | m | r
 
b
benchmark
 
c
core
 
d
data
 
i
- indexers
    indexers.base
    indexers.bm25_indexer
    indexers.elasticsearch_indexer
    indexers.faiss_indexer
    indexers.milvus_indexer
    indexers.opensearch_indexer
    indexers.pgvector_indexer
    indexers.qdrant_indexer
    indexers.scann_indexer
    indexers.usearch_indexer
    indexers.weaviate_indexer
 
l
llm
 
m
mcp_server
 
r
rerank
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