03
Retrieval & Vector Stores
Holds the embeddings, returns the few that matter.
- WeaviatedatabaseGraph-aware vector database with hybrid and multi-vector search.More about Weaviate in this index
- PineconedatabaseFully managed vector database with serverless scaling.More about Pinecone in this index
- MilvusdatabaseCloud-native vector database supporting billion-scale indexes.More about Milvus in this index
- TurbopufferdatabaseVector search engine tuned for high-recall retrieval workloads.More about Turbopuffer in this index
- UnstructuredlibraryPreprocessing library that partitions raw documents for indexing.More about Unstructured in this index
- ElasticsearchdatabaseBM25 plus dense vectors in one index, with hybrid ranking.More about Elasticsearch in this index
- VespaplatformSearch engine built for ranking-heavy retrieval at scale.More about Vespa in this index
- RerankersservicePurpose-built cross-encoders for the second retrieval stage.More about Rerankers in this index
- Jina AIserviceMultimodal embeddings and a reranker behind one endpoint.More about Jina AI in this index
- LangChain Text SplitterslibraryDocument loaders and splitters for the ingest stage.More about LangChain Text Splitters in this index
- DoclinglibraryLayout-aware parsing that preserves table and heading structure.More about Docling in this index
- LlamaParseserviceManaged parsing for PDFs, especially the ugly ones.More about LlamaParse in this index
By Lattice editorial · Layer boundaries and entries verified · method
Also relevant here
These tools are indexed in another layer, but they also do retrieval & vector stores's job. Each carries its home layer's colour.