Add deepseek cookbook recipe (#64)

* Add deepseek cookbook recipe

* update line

README.md

@@ -29,6 +29,7 @@ The Spice.ai OSS Cookbook is a collection of recipes for building and deploying
 - [Nvidia NIM on AWS EC2](./nvidia-nim/ec2/README.md) - Deploy Nvidia NIM on AWS GPU-optimized EC2 instances connected to Spice.
 - [Searching GitHub Files](./search_github_files/README.md) - Search GitHub files with embeddings and vector similarity search.
 - [xAI Models](./models/xai/README.md) - Use xAI models such as Grok.
+- [DeepSeek Model](./deepseek/README.md) - Use DeepSeek model through Spice.
 
 ### Data Acceleration - Materializing & accelerating data locally with Data Accelerators
 
@@ -51,7 +52,8 @@ The Spice.ai OSS Cookbook is a collection of recipes for building and deploying
   - [AWS RDS Aurora (MySQL Compatible)](./mysql/rds-aurora/README.md)
   - [PlanetScale](./mysql/planetscale/README.md)
 - [Clickhouse Data Connector](./clickhouse/README.md)
-- [Databricks Connector](./databricks/README.md) - Delta Lake and Spark Connect
+- [Databricks Connector](./databricks/README.md) - Delta Lake and Spark Connect.
+- [Delta Lake Connector](./delta-lake/README.md) - Query data from Delta Lake tables.
 - [Debezium Change Data Capture (CDC) Data Connector from Postgres](./cdc-debezium/README.md) - Stream changes from a Postgres database to Spice.
   - [Debezium CDC SASL/SCRAM Authentication from MySQL](./cdc-debezium/sasl-scram/README.md) - Stream changes from a MySQL database to Spice using SASL/SCRAM authentication.
 - [Dremio Data Connector](./dremio/README.md)

deepseek/.env

@@ -0,0 +1 @@
+DEEPSEEK_API_KEY=

deepseek/README.md

@@ -0,0 +1,101 @@
+# DeepSeek Model
+
+This recipe demonstrates how to use DeepSeek model in Spice.ai.
+
+## Prerequisites
+
+- Ensure you have the Spice CLI installed. Follow the [Getting Started](https://docs.spiceai.org/getting-started) guide if you haven't done so yet.
+
+## Populate `.env` and Configure Spicepod
+
+Clone this cookbook repo locally:
+
+```bash
+git clone https://github.com/spiceai/cookbook.git
+cd cookbook/deepseek
+```
+
+Populate `.env` with the following:
+
+- `DEEPSEEK_API_KEY`: A valid DeepSeek API key.
+
+Verify that the `spicepod.yaml` is configured as follows:
+
+```yaml
+datasets:
+  - from: s3://spiceai-demo-datasets/taxi_trips/2024/
+    name: taxi_trips
+    description: taxi trips in s3
+    params:
+      file_format: parquet
+    acceleration:
+      enabled: true
+
+models:
+  - from: openai:deepseek-chat
+    name: deepseek
+    params:
+      tools: auto
+      endpoint: https://api.deepseek.com
+      openai_api_key: ${secrets:DEEPSEEK_API_KEY}
+```
+
+## Run Spice
+
+```shell
+spice run
+```
+
+Result:
+
+```shell
+2025/01/21 14:48:39 INFO Checking for latest Spice runtime release...
+2025/01/21 14:48:40 INFO Spice.ai runtime starting...
+2025-01-21T22:48:40.569250Z  INFO runtime::init::dataset: Initializing dataset taxi_trips
+2025-01-21T22:48:40.569580Z  INFO runtime::init::model: Loading model [deepseek] from openai:deepseek-chat...
+2025-01-21T22:48:40.569646Z  INFO runtime::flight: Spice Runtime Flight listening on 127.0.0.1:50051
+2025-01-21T22:48:40.569701Z  INFO runtime::metrics_server: Spice Runtime Metrics listening on 127.0.0.1:9090
+2025-01-21T22:48:40.570139Z  INFO runtime::http: Spice Runtime HTTP listening on 127.0.0.1:8090
+2025-01-21T22:48:40.572365Z  INFO runtime::opentelemetry: Spice Runtime OpenTelemetry listening on 127.0.0.1:50052
+2025-01-21T22:48:40.769265Z  INFO runtime::init::results_cache: Initialized results cache; max size: 128.00 MiB, item ttl: 1s
+2025-01-21T22:48:41.380306Z  INFO runtime::init::dataset: Dataset taxi_trips registered (s3://spiceai-demo-datasets/taxi_trips/2024/), acceleration (arrow), results cache enabled.
+2025-01-21T22:48:41.381620Z  INFO runtime::accelerated_table::refresh_task: Loading data for dataset taxi_trips
+2025-01-21T22:48:44.001483Z  INFO runtime::init::model: Model [deepseek] deployed, ready for inferencing
+```
+
+## Utilizing a natural language query
+
+Use `spice chat` CLI command to query information using natural language
+
+```shell
+>> spice chat
+Using model: deepseek
+```
+
+Perform test queries:
+
+```shell
+chat> what datasets you have access to
+Currently, I have access to the following dataset:
+
+- **Dataset Name**: `spice.public.taxi_trips`
+- **Description**: taxi trips in s3
+- **Can Search Documents**: No
+
+This dataset contains information about taxi trips stored in S3. If you need more details or want to perform specific queries on this dataset, feel free to ask!
+
+Time: 5.58s (first token 1.09s). Tokens: 1532. Prompt: 1517. Completion: 15 (3.34/s).
+```
+
+```shell
+chat> how many records in taxi trips dataset
+The `taxi_trips` dataset contains **2,964,624** records.
+
+Time: 9.13s (first token 0.93s). Tokens: 1545. Prompt: 1518. Completion: 27 (3.29/s).
+```
+
+```shell
+The longest taxi trip distance recorded in the dataset is **312,722.3 miles**.
+
+Time: 5.44s (first token 0.90s). Tokens: 1584. Prompt: 1548. Completion: 36 (7.93/s).
+```

deepseek/spicepod.yaml

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+version: v1
+kind: Spicepod
+name: deepseek
+
+datasets:
+  - from: s3://spiceai-demo-datasets/taxi_trips/2024/
+    name: taxi_trips
+    description: taxi trips in s3
+    params:
+      file_format: parquet
+    acceleration:
+      enabled: true
+
+models:
+  - from: openai:deepseek-chat
+    name: deepseek
+    params:
+      tools: auto
+      endpoint: https://api.deepseek.com
+      openai_api_key: ${secrets:DEEPSEEK_API_KEY}