alessandrobenedetti commented on code in PR #2809:
URL: https://github.com/apache/solr/pull/2809#discussion_r1832545720


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solr/solr-ref-guide/modules/query-guide/pages/embedding-text.adoc:
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+= Embedding Text
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+With the *Large Language Model* (or *LLM* for short) module you can interact 
with Large Language Models in Solr to encode text to vectors at indexing and 
query time.
+
+
+== Text Embedding Concepts
+
+=== From Text to Vector
+
+The task of sentence similarity aims to encode text to vector in a way that 
sentences semantically similar are encoded to vectors close in a vector space 
(using a vector distance metric).
+
+
+=== Large Language Models 
+
+Large Language Models can be fine-tuned for such task.
+The resulting model is able to encode text to a numerical vector.
+
+For additional information you can refer to this 
https://sease.io/2021/12/using-bert-to-improve-search-relevance.html[blog post].
+
+==== Embedding Services
+
+Training, fine-tuning and operating such Large Language Models is expensive.
+
+Many companies focus on this aspect and let users access APIs to encode the 
text (at the price of a license fee).
+
+Apache Solr uses LangChain4j (add link here) to connect to such apis.
+
+[IMPORTANT]
+====
+At the moment a subset of the embedding models supported by LangChain4j is 
supported by Solr.
+
+*Disclaimer*: Apache Solr is *in no way* affiliated to any of these 
corporations or services.
+
+If you want to add support for additional services or improve the support for 
the existing ones, feel free to contribute:
+
+* https://github.com/apache/solr/blob/main/CONTRIBUTING.md[Contributing to 
Solr]
+====
+
+== Module
+
+This is provided via the `llm` xref:configuration-guide:solr-modules.adoc[Solr 
Module] that needs to be enabled before use.
+
+At the moment the only supported way to interact with Large Language Models is 
via embedding text.
+
+In the future additional components to empower Solr with LLM will be added.
+
+== Installation of LLM
+
+The llm module requires the `modules/ltr/lib/solr-llm-*.jar` JARs.
+
+== LLM Configuration
+
+Large-Language-Model is a module and therefore its plugins must be configured 
in `solrconfig.xml`.
+
+=== Minimum Requirements
+
+* Include the required module JARs.
+Note that by default paths are relative to the Solr core, so they may need 
adjustments to your configuration, or an explicit specification of the 
`$solr.install.dir`.
++
+[source,xml]
+----
+<lib dir="${solr.install.dir:../../../..}/modules/llm/lib/" regex=".*\.jar" />
+----

Review Comment:
   Done!



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