OpenSearch is an open-source search and analytics platform suited to retrieval systems that need both conventional full-text search and vector-based similarity search. It provides a built-in vector database and approximate-nearest-neighbor (ANN) search, making it a turnkey alternative to assembling separate retrieval libraries. section 10.3.6
OpenSearch is positioned as a practical choice when:
- You need full-text search alongside vector database and ANN functionality. section 10.3.6
- You prefer a turnkey deployment over selecting among libraries such as Annoy, Faiss, and nmslib. section 10.3.6
- You can manage Java packages and Docker containers, or want a more approachable experimentation path through Haystack. section 10.3.6
- You are willing to review licensing changes and commercial-use restrictions in open-source infrastructure. section 10.3.6
Figure 10.5 Performance comparison of ANN algorithms for the New York Times dataset
Compare ANN algorithm performance on the New York Times dataset before choosing a retrieval implementation or turnkey platform. section 10.3.6
