reaatech/hybrid-rag-qdrant

★ 1Last commit: May 13, 2026GitHub →

These packages provide a modular framework for building and evaluating hybrid RAG pipelines that combine vector search, BM25 keyword retrieval, and cross-encoder reranking. They are designed for engineers who need to systematically optimize retrieval quality through configurable chunking strategies, ablation studies, and standardized IR metrics. The system is built around a unified `RAGPipeline` orchestrator that integrates these components with OpenTelemetry tracing and an MCP server for agent-based workflows.

agentic-ai answer-relevance benchmarks context-precision context-recall faithfulness information-retrieval llm llm-eval rag rag-evaluation semantic-search typescript qdrant

Packages

Sort

10 packages

hybrid-rag

@reaatech/hybrid-rag

v0.1.0

Provides a shared library of TypeScript interfaces and Zod schemas for defining documents, retrieval results, and evaluation metrics within a hybrid RAG pipeline. It serves as the type-safe foundation for the `@reaatech/hybrid-rag` ecosystem, requiring only `zod` as a runtime dependency.

View package View on npm

status: published
published: 1 day ago

hybrid-rag-cli

@reaatech/hybrid-rag-cli

v0.1.0

Provides a command-line interface for managing hybrid RAG pipelines, including document ingestion, querying, evaluation, and benchmarking. It requires a Qdrant instance and supports running as an MCP server for integration with LLM-based applications.

View package View on npm

status: published
published: 1 day ago

hybrid-rag-embedding

@reaatech/hybrid-rag-embedding

v0.1.0

Generates vector embeddings through a unified interface for OpenAI, Vertex AI, and local models, featuring built-in batching, rate limiting, and cost tracking. It provides an `EmbeddingService` class that returns standardized objects containing the vector, token usage, and calculated cost.

View package View on npm

status: published
published: 1 day ago

hybrid-rag-evaluation

@reaatech/hybrid-rag-evaluation

v0.1.0

Evaluates hybrid RAG systems by providing classes for running IR metrics, ablation studies, and performance benchmarking. It exposes runner classes and utility functions that accept custom query callbacks to measure retrieval accuracy, generation quality, latency, and cost.

View package View on npm

status: published
published: 1 day ago

hybrid-rag-ingestion

@reaatech/hybrid-rag-ingestion

v0.1.0

Provides a suite of classes and functions for loading, normalizing, validating, and chunking documents into formats suitable for RAG pipelines. It supports four distinct chunking strategies and generates deterministic IDs for PDF, Markdown, HTML, and plain text files.

View package View on npm

status: published
published: 1 day ago

hybrid-rag-mcp-server

@reaatech/hybrid-rag-mcp-server

v0.1.0

Exposes over 40 Model Context Protocol (MCP) tools for managing RAG lifecycles, including retrieval, ingestion, evaluation, and observability. It provides a `createMCPServer` function that wraps a `RAGPipeline` instance and supports stdio, HTTP, or SSE transport layers.

View package View on npm

status: published
published: 1 day ago

hybrid-rag-observability

@reaatech/hybrid-rag-observability

v0.1.0

Provides structured logging, OpenTelemetry tracing, and metrics collection specifically for hybrid RAG pipelines. It exports a set of utility functions and managers that wrap Pino and OpenTelemetry to track query lifecycles, retrieval performance, and system costs.

View package View on npm

status: published
published: 1 day ago

hybrid-rag-pipeline

@reaatech/hybrid-rag-pipeline

v0.1.0

Provides a unified `RAGPipeline` class for orchestrating document ingestion, hybrid vector and BM25 retrieval, and reranking. It requires a Qdrant instance and integrates with various embedding and reranking providers to manage the end-to-end RAG lifecycle.

View package View on npm

status: published
published: 1 day ago

hybrid-rag-qdrant

@reaatech/hybrid-rag-qdrant

v0.1.0

Provides a wrapper class for the Qdrant REST client that simplifies collection management, batch upserting, and metadata-filtered vector searches. It acts as an abstraction layer over `@qdrant/js-client-rest` to streamline common RAG operations.

View package View on npm

status: published
published: 1 day ago

hybrid-rag-retrieval

@reaatech/hybrid-rag-retrieval

v0.1.0

Orchestrates hybrid RAG pipelines by combining Qdrant-based vector search, in-process BM25 keyword search, and cross-encoder reranking. It provides a `HybridRetriever` class that manages score normalization and fusion strategies like RRF or weighted sum to return a unified list of search results.