Haystack and Llamaindex fst and gsi examples (#62)

* haystack and llamaindex example for gsi and fts

* refactor

* added not for default linear vector search

* haystack cookbook update

* composite changes

* clean up

* reverted code

* reverted code

* file name changes

* test fix

* tag name

* fix for bulk error

* ignore llama index gsi example

* tag changes

* description change

Author: shyam-cb

haystack/fts/RAG_with_Couchbase_Capella_and_OpenAI.ipynb

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+---
+# frontmatter
+path: "/tutorial-openai-haystack-rag"
+title: "Retrieval-Augmented Generation (RAG) with OpenAI and Haystack"
+short_title: "RAG with Openai and Haystack"
+description:
+  - Learn how to build a semantic search engine using Couchbase's Search vector index.
+  - This tutorial demonstrates how to integrate Couchbase's vector search capabilities with the embeddings generated by OpenAI Services.
+  - You will understand how to perform Retrieval-Augmented Generation (RAG) using Haystack, Couchbase and OpenAI services.
+content_type: tutorial
+filter: sdk
+technology:
+  - vector search
+tags:
+  - OpenAI
+  - Artificial Intelligence
+  - Haystack
+  - FTS
+sdk_language:
+  - python
+length: 60 Mins
+---

haystack/fts/frontmatter.md

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+{
+    "name": "vector_search",
+    "type": "fulltext-index",
+    "sourceType": "gocbcore",
+    "sourceName": "test_bucket",
+    "planParams": {
+      "indexPartitions": 1,
+      "numReplicas": 0
+    },
+    "params": {
+      "doc_config": {
+        "docid_prefix_delim": "",
+        "docid_regexp": "",
+        "mode": "scope.collection.type_field",
+        "type_field": "type"
+      },
+      "mapping": {
+        "default_analyzer": "standard",
+        "default_datetime_parser": "dateTimeOptional",
+        "index_dynamic": true,
+        "store_dynamic": true,
+        "default_mapping": {
+          "dynamic": true,
+          "enabled": false
+        },
+        "types": {
+          "test_scope.test_collection": {
+            "dynamic": true,
+            "enabled": true,
+            "properties": {
+              "text": {
+                  "dynamic": false,
+                  "enabled": true,
+                  "fields": [
+                    {
+                      "analyzer": "en",
+                      "index": true,
+                      "name": "text",
+                      "store": true,
+                      "type": "text"
+                    }
+                  ]
+              },
+              "embedding": {
+                "enabled": true,
+                "dynamic": false,
+                "fields":[
+                  {
+                    "vector_index_optimized_for": "recall",
+                    "docvalues": true,
+                    "dims": 3072,
+                    "include_in_all": false,
+                    "include_term_vectors": false,
+                    "index": true,
+                    "name": "embedding",
+                    "similarity": "dot_product",
+                    "store": true,
+                    "type": "vector"
+                  }
+                ]
+              },
+              "meta": {
+                "dynamic": true,
+                "enabled": true
+              }
+            }
+          }
+        }
+      }
+    }
+  }

haystack/fts/fts_index.json

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+pandas>=2.1.4
+datasets>=2.14.5
+setuptools>=75.8.0
+couchbase-haystack==2.*
+transformers[torch]>=4.49.0
+tensorflow>=2.18.0