Files

Letong Han 7e40475b6d Refine READMEs after reorg (#666 )

* update dataprep readme

Signed-off-by: letonghan <letong.han@intel.com>

* update vectorstore readme

Signed-off-by: letonghan <letong.han@intel.com>

* udpate retriever readme

Signed-off-by: letonghan <letong.han@intel.com>

* update retriever readme

Signed-off-by: letonghan <letong.han@intel.com>

* udpate embedding readme

Signed-off-by: letonghan <letong.han@intel.com>

* update guardrails readme

Signed-off-by: letonghan <letong.han@intel.com>

* update other readmes

Signed-off-by: letonghan <letong.han@intel.com>

* update reranks readme

Signed-off-by: letonghan <letong.han@intel.com>

* update llm&lvms readme

Signed-off-by: letonghan <letong.han@intel.com>

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Signed-off-by: letonghan <letong.han@intel.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

2024-09-11 17:23:40 +08:00

1.9 KiB

Raw Blame History

Retriever Microservice

This retriever microservice is a highly efficient search service designed for handling and retrieving embedding vectors. It operates by receiving an embedding vector as input and conducting a similarity search against vectors stored in a VectorDB database. Users must specify the VectorDB's URL and the index name, and the service searches within that index to find documents with the highest similarity to the input vector.

The service primarily utilizes similarity measures in vector space to rapidly retrieve contentually similar documents. The vector-based retrieval approach is particularly suited for handling large datasets, offering fast and accurate search results that significantly enhance the efficiency and quality of information retrieval.

Overall, this microservice provides robust backend support for applications requiring efficient similarity searches, playing a vital role in scenarios such as recommendation systems, information retrieval, or any other context where precise measurement of document similarity is crucial.