Retriever Modules

We are actively adding more tailored retrieval guides. In the meanwhile, please take a look at the API References.

Index Retrievers

Please see the retriever modes for more details on how to get a retriever from any given index.

If you want to import the corresponding retrievers directly, please check out our API reference.

Comprehensive Retriever Guides

Check out our comprehensive guides on various retriever modules, many of which cover advanced concepts (auto-retrieval, routing, ensembling, and more).

Advanced Retrieval and Search

These guides contain advanced retrieval techniques. Some are common like keyword/hybrid search, reranking, and more. Some are specific to LLM + RAG workflows, like small-to-big and auto-merging retrieval.

• Define Custom Retriever
• BM25 Hybrid Retriever
• Simple Query Fusion
• Reciprocal Rerank Fusion
• Auto Merging Retriever
• Metadata Replacement
• Composable Retrievers

Auto-Retrieval

These retrieval techniques perform semi-structured queries, combining semantic search with structured filtering.

• Auto-Retrieval (with Pinecone)
• Auto-Retrieval (with Lantern)
• Auto-Retrieval (with Chroma)
• Auto-Retrieval (with BagelDB)
• Auto-Retrieval (with Vectara)
• Multi-Doc Auto-Retrieval

Knowledge Graph Retrievers

• Knowledge Graph RAG Retriever

Composed Retrievers

These are retrieval techniques that are composed on top of other retrieval techniques - providing higher-level capabilities like hierarchical retrieval and query decomposition.

• Query Fusion
• Recursive Table Retrieval
• Recursive Node Retrieval
• Braintrust
• Router Retriever
• Ensemble Retriever
• Multi-Doc Auto-Retrieval

Managed Retrievers

• Google
• Vectara
• VideoDB
• Amazon Bedrock

Other Retrievers

These are guides that don’t fit neatly into a category but should be highlighted regardless.

• Multi-Doc Hybrid
• You Retriever
• Text-to-SQL
• DeepMemory (Activeloop)
• Pathway