TxtAI MCP Server

# Reranker   The Reranker pipeline runs embeddings queries and re-ranks them using a similarity pipeline. ## Example The following shows a simple example using this pipeline. ```python from txtai import Embeddings from txtai.pipeline import Reranker, Similarity # Embeddings instance embeddings = Embeddings() embeddings.load(provider="huggingface-hub", container="neuml/txtai-wikipedia") # Similarity instance similarity = Similarity(path="colbert-ir/colbertv2.0", lateencode=True) # Reranking pipeline reranker = Reranker(embeddings, similarity) reranker("Tell me about AI") ``` _Note: Content must be enabled with the embeddings instance for this to work properly._ See the link below for a more detailed example. | Notebook | Description | | |:----------|:-------------|------:| | [What's new in txtai 9.0](https://github.com/neuml/txtai/blob/master/examples/76_Whats_new_in_txtai_9_0.ipynb) | Learned sparse vectors, late interaction models and rerankers | [](https://colab.research.google.com/github/neuml/txtai/blob/master/examples/76_Whats_new_in_txtai_9_0.ipynb) | ## Configuration-driven example Pipelines are run with Python or configuration. Pipelines can be instantiated in [configuration](../../../api/configuration/#pipeline) using the lower case name of the pipeline. Configuration-driven pipelines are run with [workflows](../../../workflow/#configuration-driven-example) or the [API](../../../api#local-instance). ### config.yml ```yaml embeddings: similarity: # Create pipeline using lower case class name reranker: # Run pipeline with workflow workflow: translate: tasks: - reranker ``` ### Run with Workflows ```python from txtai import Application # Create and run pipeline with workflow app = Application("config.yml") list(app.workflow("reranker", ["Tell me about AI"])) ``` ### Run with API ```bash CONFIG=config.yml uvicorn "txtai.api:app" & curl \ -X POST "http://localhost:8000/workflow" \ -H "Content-Type: application/json" \ -d '{"name":"rerank", "elements":["Tell me about AI"]}' ``` ## Methods Python documentation for the pipeline. ### ::: txtai.pipeline.Reranker.__init__ ### ::: txtai.pipeline.Reranker.__call__