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Chroma Vector Store: Embedded RAG for Fast Prototypes
If you want to build a working RAG demo this afternoon without provisioning Pinecone, running a Docker container for Qdrant,...
Weaviate Hybrid Search: Vector + BM25 in One Query
If your RAG pipeline returns close-but-wrong chunks — semantically related but missing the exact product code, error message, or API...
Pinecone Serverless: Production RAG at Scale
If you’re running a RAG system on a self-managed vector database and watching the infrastructure bill creep into four digits,...
Qdrant Setup and Python Integration: Hands-On Guide
If you are building a RAG pipeline or a semantic search feature and want a Rust-based vector store that runs...
pgvector in Postgres: RAG Without a Separate Vector DB
If you are building a RAG application and already run Postgres, adding a second database just for embeddings often creates...
Reranking in RAG: Cohere Rerank and Cross-Encoders Guide
If your RAG pipeline retrieves chunks that look relevant but produce vague answers, the problem is rarely the embedding model....
Hybrid Search in RAG: Combining Keyword and Vector Retrieval
If your RAG pipeline misses obvious matches — a user types an exact error code, a SKU, or a function...
RAG Chunking Strategies: Fixed, Recursive, and Semantic
If your retrieval-augmented generation system surfaces documents that contain the right keywords but miss the actual answer, your chunking step...
Portkey AI Gateway: Caching, Fallbacks, and Observability
If you ship LLM features to real users, three problems show up fast: OpenAI returns a 500, your bill doubles...