diff --git a/templates/components.jsonnet b/templates/components.jsonnet
index d0df569f..e94374ac 100644
--- a/templates/components.jsonnet
+++ b/templates/components.jsonnet
@@ -11,6 +11,7 @@
    "claude": import "components/claude.jsonnet",
    "cohere": import "components/cohere.jsonnet",
    "googleaistudio": import "components/googleaistudio.jsonnet",
+   "lmstudio": import "components/lmstudio.jsonnet",
    "mistral": import "components/mistral.jsonnet",
    "ollama": import "components/ollama.jsonnet",
    "openai": import "components/openai.jsonnet",
@@ -23,6 +24,7 @@
    "claude-rag": import "components/claude-rag.jsonnet",
    "cohere-rag": import "components/cohere-rag.jsonnet",
    "googleaistudio-rag": import "components/googleaistudio-rag.jsonnet",
+   "lmstudio-rag": import "components/lmstudio-rag.jsonnet",
    "mistral-rag": import "components/mistral-rag.jsonnet",
    "ollama-rag": import "components/ollama-rag.jsonnet",
    "openai-rag": import "components/openai-rag.jsonnet",
diff --git a/templates/components/lmstudio-rag.jsonnet b/templates/components/lmstudio-rag.jsonnet
new file mode 100644
index 00000000..70a94087
--- /dev/null
+++ b/templates/components/lmstudio-rag.jsonnet
@@ -0,0 +1,63 @@
+local base = import "base/base.jsonnet";
+local images = import "values/images.jsonnet";
+local url = import "values/url.jsonnet";
+local prompts = import "prompts/mixtral.jsonnet";
+
+{
+
+    with:: function(key, value)
+        self + {
+            ["lmstudio-rag-" + key]:: value,
+        },
+
+    "lmstudio-rag-max-output-tokens":: 4096,
+    "lmstudio-rag-temperature":: 0.0,
+    "lmstudio-rag-model":: "GPT-3.5-Turbo",
+
+    "text-completion-rag" +: {
+    
+        create:: function(engine)
+
+            local envSecrets = engine.envSecrets("lmstudio-credentials")
+                .with_env_var("LMSTUDIO_URL", "lmstudio-url");
+
+            local containerRag =
+                engine.container("text-completion-rag")
+                    .with_image(images.trustgraph_flow)
+                    .with_command([
+                        "text-completion-lmstudio",
+                        "-p",
+                        url.pulsar,
+                        "-x",
+                        std.toString($["lmstudio-rag-max-output-tokens"]),
+                        "-t",
+                        "%0.3f" % $["lmstudio-rag-temperature"],
+                        "-m",
+                        $["lmstudio-rag-model"],
+                        "-i",
+                        "non-persistent://tg/request/text-completion-rag",
+                        "-o",
+                        "non-persistent://tg/response/text-completion-rag",
+                    ])
+                    .with_env_var_secrets(envSecrets)
+                    .with_limits("0.5", "128M")
+                    .with_reservations("0.1", "128M");
+
+            local containerSetRag = engine.containers(
+                "text-completion-rag", [ containerRag ]
+            );
+
+            local serviceRag =
+                engine.internalService(containerSetRag)
+                .with_port(8080, 8080, "metrics");
+
+            engine.resources([
+                envSecrets,
+                containerSetRag,
+                serviceRag,
+            ])
+
+    },
+
+} + prompts
+
diff --git a/templates/components/lmstudio.jsonnet b/templates/components/lmstudio.jsonnet
new file mode 100644
index 00000000..4fe1da58
--- /dev/null
+++ b/templates/components/lmstudio.jsonnet
@@ -0,0 +1,59 @@
+local base = import "base/base.jsonnet";
+local images = import "values/images.jsonnet";
+local url = import "values/url.jsonnet";
+local prompts = import "prompts/mixtral.jsonnet";
+
+{
+
+    with:: function(key, value)
+        self + {
+            ["lmstudio-" + key]:: value,
+        },
+
+    "lmstudio-max-output-tokens":: 4096,
+    "lmstudio-temperature":: 0.0,
+    "lmstudio-model":: "GPT-3.5-Turbo",
+
+    "text-completion" +: {
+    
+        create:: function(engine)
+
+            local envSecrets = engine.envSecrets("lmstudio-credentials")
+                .with_env_var("LMSTUDIO_URL", "lmstudio-url");
+
+            local container =
+                engine.container("text-completion")
+                    .with_image(images.trustgraph_flow)
+                    .with_command([
+                        "text-completion-lmstudio",
+                        "-p",
+                        url.pulsar,
+                        "-x",
+                        std.toString($["lmstudio-max-output-tokens"]),
+                        "-t",
+                        "%0.3f" % $["lmstudio-temperature"],
+                        "-m",
+                        $["lmstudio-model"],
+                    ])
+                    .with_env_var_secrets(envSecrets)
+                    .with_limits("0.5", "128M")
+                    .with_reservations("0.1", "128M");
+
+            local containerSet = engine.containers(
+                "text-completion", [ container ]
+            );
+
+            local service =
+                engine.internalService(containerSet)
+                .with_port(8080, 8080, "metrics");
+
+            engine.resources([
+                envSecrets,
+                containerSet,
+                service,
+            ])
+
+    },
+
+} + prompts
+