Optimizing Retrieval for RAG Apps: Vector Search and Hybrid Techniques
In this blog we are going to dive into optimizing our search strategy with Hybrid search techniques. Common practices for implementing the retrieval step in retrieval-augmented generation (RAG) applications are; Keyword search Vector Search Hybrid search (Keyword + Vector) Hybrid + Semantic ranker
Introducing DiskANN Vector Index in Azure Database for PostgreSQL
We're thrilled to announce the preview of DiskANN, a leading vector indexing algorithm, on Azure Database for PostgreSQL - Flexible Server! Developed by Microsoft Research and used extensively at Microsoft in global services such as Bing and Microsoft 365, DiskANN enables developers to build highly accurate, performant and scalable Generative AI applications surpassing pgvector’s HNSW and IVFFlat in both latency and accuracy. DiskANN also overcomes a long-standing limitation of pgvector in filtered vector search, where it occasionally returns incorrect results.LangChain integration with Azure Database for PostgreSQL (Part 1)
Use LangChain to split documents into smaller chunks, generate embeddings for each chunk using Azure OpenAI, and store them in a PostgreSQL database via the pgvector extension. Then, we’ll perform a vector similarity search on the embedded documents.
