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dragon28 · Jan 1, 2024 · 248d849 · 248d849
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diff --git a/README.md b/README.md
@@ -110,10 +110,20 @@ teacher_task.add_sub_task(student_task)
 teacher_task.run()
 ```
 
+# :fire: Updates/Releases
+
 <details>
-<summary> <b>:fire: Updates/Releases</b></summary>
+<summary> <b>Click to expand</b></summary>
 
 - **Dec 2023:**
+  - **0.1.154:** (For details see release notes of [0.1.149](https://github.com/langroid/langroid/releases/tag/0.1.149)
+      and [0.1.154](https://github.com/langroid/langroid/releases/tag/0.1.154)). 
+    - `DocChatAgent`: Ingest Pandas dataframes and filtering.
+    - `LanceDocChatAgent` leverages `LanceDB` vector-db for efficient vector search
+     and full-text search and filtering.
+    - Improved task and multi-agent control mechanisms
+    - `LanceRAGTaskCreator` to create a 2-agent system consisting of a `LanceFilterAgent` that
+      decides a filter and rephrase query to send to a RAG agent.
   - **[0.1.141](https://github.com/langroid/langroid/releases/tag/0.1.141):**
     API Simplifications to reduce boilerplate:
     auto-select an available OpenAI model (preferring gpt-4-turbo), simplifies defaults.

diff --git a/docs/tutorials/non-openai-llms.md b/docs/tutorials/non-openai-llms.md
@@ -65,7 +65,7 @@ my_llm_config = MyLLMConfig(
 ## Other local LLM servers
 There are other ways to spin up a local server running an LLM behind an OpenAI-compatible API,
 
-- [`oobabooga/text-generation-webui`](https://github.com/oobabooga/text-generation-webui/tree/main/extensions), `ollama`, and `llama-cpp-python`.
+- [`oobabooga/text-generation-webui`](https://github.com/oobabooga/text-generation-webui/tree/main/extensions)
 - [`ollama`](https://github.com/jmorganca/ollama)
 - [`llama-cpp-python`](https://github.com/abetlen/llama-cpp-python)
 

diff --git a/examples/basic/chat-local.py b/examples/basic/chat-local.py
@@ -15,7 +15,13 @@
 import langroid as lr
 import langroid.language_models as lm
 
-# assume you've run `ollama pull mistral` to spin up `mistral` locally
+# Assume you've run `ollama pull mistral` to spin up `mistral` locally.
+# Notes:
+# - we use `lm.OpenAIGPTConfig` to incidate this config is for LLMs served
+#    at OpenAI-compatible endpoints)
+# - if you omit `chat_model` below, it defaults to OpenAI GPT4-turbo,
+#   or you can explicitly specify it as `lm.OpenAIChatModel.GPT4` or `lm.OpenAIChatModel.GPT4_TURBO`
+
 llm_config = lm.OpenAIGPTConfig(
     chat_model="litellm/ollama/mistral",
     chat_context_length=2048,  # adjust based on your local LLM params
@@ -27,7 +33,7 @@
 # llm_config = lm.OpenAIGPTConfig(
 #     chat_model="local/localhost:8000"
 # )
-# If the endpoint is listening at https://localhost:8000, you must include the `v1`
+# If the endpoint is listening at https://localhost:8000/v1, you must include the `v1`
 # at the end, e.g. chat_model="local/localhost:8000/v1"
 
 agent_config = lr.ChatAgentConfig(

diff --git a/langroid/agent/special/lance_doc_chat_agent.py b/langroid/agent/special/lance_doc_chat_agent.py
@@ -93,7 +93,8 @@ class LanceFilterAgentConfig(ChatAgentConfig):
     NOT TOO STRICT, e.g. look for approximate match using LIKE, etc.
         
     You must present the FILTER and (POSSIBLY rephrased QUERY)
-    using the `add_filter` tool. Use dot notation to refer to nested fields. 
+    using the `add_filter` tool. 
+    Use DOT NOTATION to refer to nested fields, e.g. `metadata.year`, etc. 
         
     If you think no FILTER would help, you can leave the `filter` field empty.
     

diff --git a/pyproject.toml b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "langroid"
-version = "0.1.153"
+version = "0.1.154"
 description = "Harness LLMs with Multi-Agent Programming"
 authors = ["Prasad Chalasani <pchalasani@gmail.com>"]
 readme = "README.md"