[completions and embeddings] Add support for Ollama (local LLMs) (#711)

examples/applications/ollama-chatbot/.gitignore

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+java/lib/*

examples/applications/ollama-chatbot/README.md

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+# Running your own Chat bot using Ollama.ai
+
+This sample application shows how to build a chat bot over the content of a website.
+In this case you are going to crawl the LangStream.ai documentation website.
+
+The Chat bot will be able to help you with LangStream.
+
+In this example we are using [HerdDB](ps://github.com/diennea/herddb) as a vector database using the JDBC driver,
+but you can use any Vector databases.
+
+As LLM we are using [Ollama](https://ollama.ai), that is a service that runs on your machine. 
+
+
+## Install Ollama
+
+
+Follow the instructions on the Ollama.ai website to install Ollama.
+
+Then start Ollama with the llama2 model
+
+```
+ollama run llama2
+```
+
+
+## Deploy the LangStream application in docker
+
+The default docker runner starts Minio, Kafka and HerdDB, so you can run the application locally.
+
+```
+./bin/langstream docker run test -app examples/applications/ollama-chatbot -s examples/secrets/secrets.yaml
+```
+
+## Talk with the Chat bot using the CLI
+Since the application opens a gateway, we can use the gateway API to send and consume messages.
+
+```
+./bin/langstream gateway chat test -cg bot-output -pg user-input -p sessionId=$(uuidgen)
+```

examples/applications/ollama-chatbot/assets.yaml

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+#
+# Copyright DataStax, Inc.
+#
+# Licensed 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.
+#
+
+assets:
+  - name: "documents-table"
+    asset-type: "jdbc-table"
+    creation-mode: create-if-not-exists
+    config:
+      table-name: "documents"
+      datasource: "JdbcDatasource"
+      create-statements:
+        - |
+          CREATE TABLE documents (
+          filename TEXT,
+          chunk_id int,
+          num_tokens int,
+          lang TEXT,
+          text TEXT,
+          embeddings_vector FLOATA,
+          PRIMARY KEY (filename, chunk_id));

examples/applications/ollama-chatbot/chatbot.yaml

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+#
+# Copyright DataStax, Inc.
+#
+# Licensed 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.
+#
+
+topics:
+  - name: "questions-topic"
+    creation-mode: create-if-not-exists
+  - name: "answers-topic"
+    creation-mode: create-if-not-exists
+  - name: "log-topic"
+    creation-mode: create-if-not-exists
+errors:
+    on-failure: "skip"
+pipeline:
+  - name: "convert-to-structure"
+    type: "document-to-json"
+    input: "questions-topic"
+    configuration:
+      text-field: "question"
+  - name: "compute-embeddings"
+    type: "compute-ai-embeddings"
+    configuration:
+      model: "${secrets.ollama.model}"
+      embeddings-field: "value.question_embeddings"
+      text: "{{ value.question }}"
+      flush-interval: 0
+  - name: "lookup-related-documents"
+    type: "query-vector-db"
+    configuration:
+      datasource: "JdbcDatasource"
+      query: "SELECT text,embeddings_vector FROM documents ORDER BY cosine_similarity(embeddings_vector, CAST(? as FLOAT ARRAY)) DESC LIMIT 20"
+      fields:
+        - "value.question_embeddings"
+      output-field: "value.related_documents"
+  - name: "re-rank documents with MMR"
+    type: "re-rank"
+    configuration:
+      max: 5 # keep only the top 5 documents, because we have an hard limit on the prompt size
+      field: "value.related_documents"
+      query-text: "value.question"
+      query-embeddings: "value.question_embeddings"
+      output-field: "value.related_documents"
+      text-field: "record.text"
+      embeddings-field: "record.embeddings_vector"
+      algorithm: "MMR"
+      lambda: 0.5
+      k1: 1.2
+      b: 0.75
+  - name: "ai-chat-completions"
+    type: "ai-chat-completions"
+
+    configuration:
+      model: "${secrets.ollama.model}"
+      # on the log-topic we add a field with the answer
+      completion-field: "value.answer"
+      # we are also logging the prompt we sent to the LLM
+      log-field: "value.prompt"
+      # here we configure the streaming behavior
+      # as soon as the LLM answers with a chunk we send it to the answers-topic
+      stream-to-topic: "answers-topic"
+      # on the streaming answer we send the answer as whole message
+      # the 'value' syntax is used to refer to the whole value of the message
+      stream-response-completion-field: "value"
+      # we want to stream the answer as soon as we have 20 chunks
+      # in order to reduce latency for the first message the agent sends the first message
+      # with 1 chunk, then with 2 chunks....up to the min-chunks-per-message value
+      # eventually we want to send bigger messages to reduce the overhead of each message on the topic
+      min-chunks-per-message: 20
+      messages:
+        - role: system
+          content: |
+              An user is going to perform a questions, The documents below may help you in answering to their questions.
+              Please try to leverage them in your answer as much as possible.
+              Take into consideration that the user is always asking questions about the LangStream project.
+              If you provide code or YAML snippets, please explicitly state that they are examples.
+              Do not provide information that is not related to the LangStream project.
+            
+              Documents:
+              {{# value.related_documents}}
+              {{ text}}
+              {{/ value.related_documents}}
+        - role: user
+          content: "{{ value.question}}"
+  - name: "cleanup-response"
+    type: "drop-fields"
+    output: "log-topic"
+    configuration:
+      fields:
+        - "question_embeddings"
+        - "related_documents"

examples/applications/ollama-chatbot/configuration.yaml

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+#
+#
+# Copyright DataStax, Inc.
+#
+# Licensed 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.
+#
+
+configuration:
+  resources:
+    - type: "datasource"
+      name: "JdbcDatasource"
+      configuration:
+        service: "jdbc"
+        driverClass: "herddb.jdbc.Driver"
+        url: "${secrets.herddb.url}"
+        user: "${secrets.herddb.user}"
+        password: "${secrets.herddb.password}"
+    - type: "ollama-configuration"
+      name: "ollama"
+      configuration:
+        url: "${secrets.ollama.url}"
+  dependencies:
+    - name: "HerdDB.org JDBC Driver"
+      url: "https://repo1.maven.org/maven2/org/herddb/herddb-jdbc/0.28.0/herddb-jdbc-0.28.0-thin.jar"
+      sha512sum: "d8ea8fbb12eada8f860ed660cbc63d66659ab3506bc165c85c420889aa8a1dac53dab7906ef61c4415a038c5a034f0d75900543dd0013bdae50feafd46f51c8e"
+      type: "java-library"

examples/applications/ollama-chatbot/crawler.yaml

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+#
+# Copyright DataStax, Inc.
+#
+# Licensed 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.
+#
+
+name: "Crawl a website"
+resources:
+      size: 2
+pipeline:
+  - name: "Crawl the WebSite"
+    type: "webcrawler-source"
+    configuration:
+      seed-urls: ["https://docs.langstream.ai/"]
+      allowed-domains: ["https://docs.langstream.ai"]
+      forbidden-paths: []
+      min-time-between-requests: 500
+      max-error-count: 5
+      max-urls: 1000
+      max-depth: 50
+      handle-robots-file: true
+      scan-html-documents: true
+      state-storage: disk
+  - name: "Extract text"
+    type: "text-extractor"
+  - name: "Normalise text"
+    type: "text-normaliser"
+    configuration:
+      make-lowercase: true
+      trim-spaces: true
+  - name: "Detect language"
+    type: "language-detector"
+    configuration:
+      allowedLanguages: ["en", "fr"]
+      property: "language"
+  - name: "Split into chunks"
+    type: "text-splitter"
+    configuration:
+      splitter_type: "RecursiveCharacterTextSplitter"
+      chunk_size: 400
+      separators: ["\n\n", "\n", " ", ""]
+      keep_separator: false
+      chunk_overlap: 100
+      length_function: "cl100k_base"
+  - name: "Convert to structured data"
+    type: "document-to-json"
+    configuration:
+      text-field: text
+      copy-properties: true
+  - name: "prepare-structure"
+    type: "compute"
+    configuration:
+      fields:
+        - name: "value.filename"
+          expression: "properties.url"
+          type: STRING
+        - name: "value.chunk_id"
+          expression: "properties.chunk_id"
+          type: STRING
+        - name: "value.language"
+          expression: "properties.language"
+          type: STRING
+        - name: "value.chunk_num_tokens"
+          expression: "properties.chunk_num_tokens"
+          type: STRING
+  - name: "compute-embeddings"
+    id: "step1"
+    type: "compute-ai-embeddings"
+    configuration:
+      model: "${secrets.ollama.model}"
+      embeddings-field: "value.embeddings_vector"
+      text: "{{ value.text }}"
+      batch-size: 10
+      flush-interval: 500
+  - name: "Delete stale chunks"
+    type: "query"
+    configuration:
+      datasource: "JdbcDatasource"
+      when: "fn:toInt(properties.text_num_chunks) == (fn:toInt(properties.chunk_id) + 1)"
+      mode: "execute"
+      query: "DELETE FROM documents WHERE filename = ? AND chunk_id > ?"
+      output-field: "value.delete-results"
+      fields:
+        - "value.filename"
+        - "fn:toInt(value.chunk_id)"
+  - name: "Write"
+    type: "vector-db-sink"
+    configuration:
+      datasource: "JdbcDatasource"
+      table-name: "documents"
+      fields:
+        - name: "filename"
+          expression: "value.filename"
+          primary-key: true
+        - name: "chunk_id"
+          expression: "value.chunk_id"
+          primary-key: true
+        - name: "embeddings_vector"
+          expression: "fn:toListOfFloat(value.embeddings_vector)"
+        - name: "lang"
+          expression: "value.language"
+        - name: "text"
+          expression: "value.text"
+        - name: "num_tokens"
+          expression: "value.chunk_num_tokens"

examples/applications/ollama-chatbot/gateways.yaml

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+#
+#
+# Copyright DataStax, Inc.
+#
+# Licensed 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.
+#
+
+gateways:
+  - id: "user-input"
+    type: produce
+    topic: "questions-topic"
+    parameters:
+      - sessionId
+    produceOptions:
+      headers:
+        - key: langstream-client-session-id
+          valueFromParameters: sessionId
+
+  - id: "bot-output"
+    type: consume
+    topic: "answers-topic"
+    parameters:
+      - sessionId
+    consumeOptions:
+      filters:
+        headers:
+          - key: langstream-client-session-id
+            valueFromParameters: sessionId
+
+
+  - id: "llm-debug"
+    type: consume
+    topic: "log-topic"

examples/secrets/secrets.yaml

@@ -144,6 +144,11 @@ secrets:
       secret-key: "${BEDROCK_SECRET_KEY}"
       region: "${REGION:-us-east-1}"
       completions-model: "${BEDROCK_COMPLETIONS_MODEL}"
+  - name: ollama
+    id: ollama
+    data:
+      url: "${OLLAMA_URL:-http://host.docker.internal:11434}"
+      model: "${OLLAMA_MODEL:-mistral}"
   - name: camel-github-source
     id: camel-github-source
     data: